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Journal articles on the topic 'File Based'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Bhat, Anirudh, Aryan Likhite, Swaraj Chavan, and Leena Ragha. "File Fragment Classification using Content Based Analysis." ITM Web of Conferences 40 (2021): 03025. http://dx.doi.org/10.1051/itmconf/20214003025.

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One of the major components in Digital Forensics is the extraction of files from a criminal’s hard drives. To achieve this, several techniques are used. One of these techniques is using file carvers. File carvers are used when the system metadata or the file table is damaged but the contents of the hard drive are still intact. File carvers work on the raw fragments in the hard disk and reconstruct files by classifying the fragments and then reassembling them to form the complete file. Hence the classification of file fragments has been an important problem in the field of digital forensics. Th

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Taufik, Ichsan, Undang Syaripudin, Faiz M. Kaffah, Jaka Giri Sobirin, Nanang Ismail, and Teddy Surya Gunawan. "Concealment of Files Blocked by Gmail with EOF-Based Image Steganography." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 2 (2018): 716. http://dx.doi.org/10.11591/ijeecs.v12.i2.pp716-721.

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Nowadays, due to security concern, not all the process of sending files via email runs smoothly. There are several types of file extensions that are blocked when sent via email. For examples, there are several file extensions blocked by Gmail. This paper discusses steganographic implementation using End of File (EOF) algorithm to insert special file into image cover file with JPG and PNG format so that files with these extensions can be sent via email. Before a special extension file is inserted into the cover file, a compression process should be conducted first to make the file size smaller.

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Ichsan, Taufik, Syaripudin Undang, M. Kaffah Faiz, Ismail Nanang, Giri Sobirin Jaka, and Surya Gunawan Teddy. "Concealment of Files Blocked by Gmail with EOF-Based Image Steganography." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 2 (2018): 716–21. https://doi.org/10.11591/ijeecs.v12.i2.pp716-721.

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Nowadays, due to security concern, not all the process of sending files via email runs smoothly. There are several types of file extensions that are blocked when sent via email. For examples, there are several file extensions blocked by Gmail. This paper discusses steganographic implementation using End of File (EOF) algorithm to insert special file into image cover file with JPG and PNG format so that files with these extensions can be sent via email. Before a special extension file is inserted into the cover file, a compression process should be conducted first to make the file size smaller.

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Kim, Hyungchan, Sungbum Kim, Yeonghun Shin, Wooyeon Jo, Seokjun Lee, and Taeshik Shon. "Ext4 and XFS File System Forensic Framework Based on TSK." Electronics 10, no. 18 (2021): 2310. http://dx.doi.org/10.3390/electronics10182310.

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Recently, the number of Internet of Things (IoT) devices, such as artificial intelligence (AI) speakers and smartwatches, using a Linux-based file system has increased. Moreover, these devices are connected to the Internet and generate vast amounts of data. To efficiently manage these generated data and improve the processing speed, the function is improved by updating the file system version or using new file systems, such as an Extended File System (XFS), B-tree file system (Btrfs), or Flash-Friendly File System (F2FS). However, in the process of updating the existing file system, the metada

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Prajwal Said, Ketaki Naik, Nupur Agrawal, Srushti Bhoite, and Sayali Shelar. "Apriori-Based Prefetching Files for Caching." International Research Journal on Advanced Engineering and Management (IRJAEM) 6, no. 07 (2024): 2348–53. http://dx.doi.org/10.47392/irjaem.2024.0339.

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The project proposes an innovative solution aimed at optimizing file system performance through predictive caching techniques integrated with a Graphical User Interface (GUI). The GUI facilitates user interaction by offering functionalities such as browsing files and displaying performance metrics via graphical representations of bandwidth and Input/Output Operations Per Second (IOPS). The functionality revolves around dynamically determining file placement on Solid State Drives (SSDs) or Hard Disk Drives (HDDs). The system employs predictive caching to identify frequently accessed files, ensu

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Kang, Peng, Wenzhong Yang, and Jiong Zheng. "Blockchain Private File Storage-Sharing Method Based on IPFS." Sensors 22, no. 14 (2022): 5100. http://dx.doi.org/10.3390/s22145100.

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Under the current national network environment, anyone can participate in publishing. As an important information resource, knowledge files reflect the workload of publishers. Moreover, high-quality knowledge files can promote the progress of society. However, pirated inferior files have the opposite effect. At present, most organizations use centralized servers to centrally manage the knowledge files released by users. In addition, it is necessary to introduce an untrusted third party to examine and encrypt the contents of files, which leads to an opaque process of file storage transactions,

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Mao, Xin Yu. "Access Control Based on File View." Applied Mechanics and Materials 380-384 (August 2013): 1947–50. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1947.

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Constructing the tree type logic structure of a file and introducing the view mechanism of database system into the file system, the hierarchical structure of view files is created. Different files ( view files ) are provided to different users according to their levels or interests by mapping layer by layer with beginning of the minimum access unit (the logic block). It can solve the problem of the discrepancy of users views.

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Zhu, Juan, Jipeng Huang, and Lianming Wang. "Laser Printing Files Detection Method Based on Double Features." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 10 (2018): 1854028. http://dx.doi.org/10.1142/s0218001418540289.

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A novel laser printing files detection method is proposed in this paper to solve the problem of low efficiency and difficulty in traditional detection. The new method is based on improved scale-invariant feature transform (SIFT) feature and histogram feature. Firstly, analyze the graphical features of different laser printing files. Different files have different printing texture features in valid data area. So segment the valid data area to remove the interference of background. Secondly, extract the histogram feature of the same character in the printing file. Normalize the histogram and the

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Lim, Mingyu. "An Active File Mode Transition Mechanism Based on Directory Activation Ratio in File Synchronization Service." Applied Sciences 13, no. 10 (2023): 5970. http://dx.doi.org/10.3390/app13105970.

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In this paper, we propose an active file mode change mechanism in which the file synchronization system of cloud storage automatically changes files in a directory of a client to the online or local mode by considering tradeoff between local storage usage and file access time according to directory activation ratio. When the directory activation ratio rises above a certain threshold, the proposed active file mode change mechanism selects online mode files in this directory based on file access delay time and local storage usage and changes them to the local mode to reduce file access delay of

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Wu, Zhi Hao. "A Log-Structured File System Based on LevelDB." Applied Mechanics and Materials 602-605 (August 2014): 3481–84. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3481.

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Traditional file systems have some shortages in storing small files, such as randomness of data layout, waste of disk space and lack of inode resources. In this thesis, a log-structured file system named LevelFS based on LevelDB is presented. By setting the write buffer, it can make disk randomized writes of small files into disk sequential writes, and reduce the distance of related data, so as to improve the read and write performance of file system. Experiments show that LevelFS can greatly improve read and write performance of small files without affect the large ones.

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Edzuan Zainodin, Muhammad, Zalmiyah Zakaria, Rohayanti Hassan, and Zubaile Abdullah. "Entropy Based Method for Malicious File Detection." JOIV : International Journal on Informatics Visualization 6, no. 4 (2022): 856. http://dx.doi.org/10.30630/joiv.6.4.1265.

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Ransomware is by no means a recent invention, having existed as far back as 1989, yet it still poses a real threat in the 21st century. Given the increasing number of computer users in recent years, this threat will only continue to grow, affecting more victims as well as increasing the losses incurred towards the people and organizations impacted in a successful attack. In most cases, the only remaining courses of action open to victims of such attacks were the following: either pay the ransom or lose their data. One commonly shared behavior by all crypto ransomware strains is that there will

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Dr, Nanda Gopal S. M., Pradhan Aashi, Singh Anupriya, Arshad Amal, and Jyoti Gurram. "Block Chain- Based Secure Storage and Access Scheme System for Data in IPFS." Advancement of Computer Technology and its Applications 6, no. 1 (2023): 1–8. https://doi.org/10.5281/zenodo.7594111.

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<em>With decentralized participant nodes cooperating to maintain a trustworthy database, block-chain is fundamentally a consensus system managed by several parties. In the current national network ecosystem, publishing is open to everybody. Knowledge files are a crucial information source that show how busy publishers are. Additionally, superior information resources can advance society. The opposite is true with inferior pirated files. The majority of firms currently use centralized servers to control how individuals distribute knowledge files. A distrusted third party must also be included i

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Yogadharani, M., R. Sathishwar, Kamil M. Mohamed, Selavan K. Anbu, and M. Vinoth. "Gen AI Based File Transfer Using Protocols." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 12 (2024): 675–79. https://doi.org/10.5281/zenodo.14539933.

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File transfer protocols are the backbone of digital communication, enabling seamless and efficient data exchange across networks. These protocols standardize the process of transferring files, addressing key challenges such as reliability, security, efficiency, and compatibility. As the demand for rapid and secure data exchange grows across domains, file transfer protocols play a pivotal role in ensuring smooth operations. Prominent protocols such as File Transfer Protocol (FTP), Secure File Transfer Protocol (SFTP), and Hypertext Transfer Protocol (HTTP/HTTPS) cater to specific use cases rang

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Wang, Yan Nan, Shu Dong Zhang, and Hui Liu. "The Design of Distributed File System Based on HDFS." Applied Mechanics and Materials 423-426 (September 2013): 2733–36. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.2733.

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HDFS is a distributed file system designed to access large files, which is inefficient for storing small files. For this issue, a new storage architecture based on the HDFS is designed to solve the problem of low efficiency of HDFS storing small files in this article. This paper mainly uses SequenceFile to merge small files and against to the shortcoming that SequenceFile merges small files, the paper provides the solution and designs a new system structure based on HDFS. The system mainly increases the file judgment unit to mark and identify small files, creates a local index file which is he

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Nur Widiyasono, Randi Rizal, Siti Yuliyanti, Siti Rahayu Selamat, and Mugi Praseptiawan. "A Forensic Intelligence System for Identification of Data Originality Based on Signature Files." Journal of Advanced Research in Applied Sciences and Engineering Technology 48, no. 1 (2024): 193–204. http://dx.doi.org/10.37934/araset.48.1.193204.

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The difficulty of maintaining the authenticity of files is a security problem that must be corrected in the process of developing information technology. One example of a case that often occurs is the modification of the file extension. This happens due to human error or deliberate and automatic factors. The method used for analysing the extension of a file is signature file analysis. This method is used to detect crimes that use techniques to change file extensions to hide content in its original form. Research related to the modification of file extensions using file signature analysis has b

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Underwood, William. "Grammar-Based Specification and Parsing of Binary File Formats." International Journal of Digital Curation 7, no. 1 (2012): 95–106. http://dx.doi.org/10.2218/ijdc.v7i1.217.

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The capability to validate and view or play binary file formats, as well as to convert binary file formats to standard or current file formats, is critically important to the preservation of digital data and records. This paper describes the extension of context-free grammars from strings to binary files. Binary files are arrays of data types, such as long and short integers, floating-point numbers and pointers, as well as characters. The concept of an attribute grammar is extended to these context-free array grammars. This attribute grammar has been used to define a number of chunk-based and

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Li, Chao Ling, and Yue Chen. "Merkle Hash Tree Based Deduplication in Cloud Storage." Applied Mechanics and Materials 556-562 (May 2014): 6223–27. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6223.

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To deduplicate the sensitive data in a cloud storage center, a scheme called as MHT-Dedup that is based on MHT (Merkle Hash Tree) is proposed. It achieves the cross-user file-level client-side deduplication and local block-level client-side deduplication concurrently. It firstly encrypts the file on block granularity, and then authenticates the file ciphertext to find duplicated files (Proofs of oWnership, PoW) and check the hash of block plaintext to find duplicated blocks. In the PoW protocol of MHT-Dedup, an authenticating binary tree is generated from the tags of encrypted blocks to assure

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Zhao, Zhen Zhou, and Zhong Yong Fu. "The Research of Excel File Fragmentation Data Recovery." Applied Mechanics and Materials 496-500 (January 2014): 2274–78. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2274.

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Because the Excel file is often edited, the data blocks stored in the hard disk which make up the Excel file is often not continuous. Discontinuous storage fragmented files, deleted or formatted, with the current data recovery software to restore the effect is very poor, often file recovery, but can not open or is garbled. Therefore it makes sense to study an effective recovery method to recover Excel fragmented files. Based on "Laura" file format, first introduced the Windows platform fragmented files, and then given an Excel file fragmentation recognition method, final based on debris identi

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Liu, Hui, Hanxing Xue, and Hui Lu. "A Sensitive File Abnormal Access Detection Method Based on Application Classification." Security and Communication Networks 2021 (March 13, 2021): 1–7. http://dx.doi.org/10.1155/2021/6684456.

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As the access control mode of notepad files cannot meet the requirements of risk control for sensitive file hierarchical access, this paper proposes an application classification-based detection method for abnormal access to sensitive files. The application classification and file classification, access control policy mapping, and basic and preset policy detection are designed. Combining the operating system’s identification control of different applications at runtime, we monitor the abnormal access of sensitive files by hierarchical applications. The cross-access experiment of different leve

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Muslih, Muslih, L. Budi Handoko, and Aditya Rizqy. "File Cryptography Optimization Based on Vigenere Cipher and Advanced Encryption Standard (AES)." Journal of Applied Intelligent System 8, no. 2 (2023): 152–61. http://dx.doi.org/10.33633/jais.v8i2.7899.

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The rapid The main problem in the misuse of data used in crime is the result of a lack of file security. This study proposes a data security method to protect document files using the Advanced Encryption Standard (AES) algorithm combined with the Vigenere Cipher. This research carried out 2 processes, namely the encryption process and the decryption process. The encryption process will be carried out by the AES algorithm and then encrypted again with the Vigenere Cipher algorithm. The experiments show that the proposed method can encrypt files properly, where there are changes in the value of

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Han, Sung-Hwa, and Daesung Lee. "Kernel-Based Real-Time File Access Monitoring Structure for Detecting Malware Activity." Electronics 11, no. 12 (2022): 1871. http://dx.doi.org/10.3390/electronics11121871.

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Obfuscation and cryptography technologies are applied to malware to make the detection of malware through intrusion prevention systems (IPSs), intrusion detection systems (IDSs), and antiviruses difficult. To address this problem, the security requirements for post-detection and proper response are presented, with emphasis on the real-time file access monitoring function. However, current operating systems provide only file access control techniques, such as SELinux (version 2.6, Red Hat, Raleigh, NC, USA) and AppArmor (version 2.5, Immunix, Portland, OR, USA), to protect system files and do n

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D.Suresh1, D.V.Ramana2 D.Arun Kumar3. "FRAME BASED RECOVERY OF CORRUPTED VIDEO FILES." International Journal of Microwave Engineering (JMICRO) Vol.1, No.1, January 2016 1, no. 1 (2019): 01–10. https://doi.org/10.5281/zenodo.3342873.

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In digital forensics, recovery of a damaged or altered video file plays a crucial role in searching for evidences to resolve a criminal case. This paper presents a frame-based recovery technique of a corrupted video file using the specifications of a codec used to encode the video data. A video frame is the minimum meaningful unit of video data. Many existing approaches attempt to recover a video file using file structure rather than frame structure. In case a target video file is severely fragmented or even has a portion of video overwritten by other video content, however, video file recover

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Yadav, Ramesh Kumar, and Dr Raja Parven. "Blockchain Based Cloud File Sharing System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43793.

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Although blockchain is excellent for decentralized transaction recording, it has certain drawbacks when it comes to storing big files or documents. Decentralized storage systems have been created to effectively manage greater volumes of data in order to address this problem. A distributed system called blockchain makes sure that transactions are safe and clear. To enhance data sharing, some strategies have looked into combining blockchain with other technologies. However, relying solely on blockchain technology for safe file sharing has drawbacks. In this study, we present a secure file-sharin

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Cui, Litao. "A Preliminary Study on the Management Strategy of University Personnel Files based on Artificial Intelligence Technology." Journal of Electronic Research and Application 5, no. 2 (2021): 1–4. http://dx.doi.org/10.26689/jera.v5i2.2192.

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In order to improve the management strategy for personnel files in colleges and universities, simplify the complex process of file management, and improve file management security and content preservation of the files. This paper elaborates on the application of Artificial Intelligence (AI) technology in university personnel file management through theoretical analysis based on the understanding of AI technology.

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Abead, Suaad Ali, and Nada Hussein M. Ali. "RC5 Performance Enhancement Based on Parallel Computing." JOIV : International Journal on Informatics Visualization 9, no. 1 (2025): 407. https://doi.org/10.62527/joiv.9.1.2675.

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This study aims to enhance the RC5 algorithm to improve encryption and decryption speeds in devices with limited power and memory resources. These resource-constrained applications, which range in size from wearables and smart cards to microscopic sensors, frequently function in settings where traditional cryptographic techniques because of their high computational overhead and memory requirements are impracticable. The Enhanced RC5 (ERC5) algorithm integrates the PKCS#7 padding method to effectively adapt to various data sizes. Empirical investigation reveals significant improvements in encry

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Zhu, Ming Ying, Jian Hua Tao, Xiao Chu Liu, and Hua Liu. "Research on NC Process Information Integration Method Based on Database and Heterogeneous CAM Programming Platforms." Advanced Materials Research 328-330 (September 2011): 767–70. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.767.

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In this paper, the research focus on NC process information integration methods based on database and process information extraction from macro files of heterogeneous commercial CAM platforms. First, analyzed the macro file characteristics of studied CAM system to build heterogeneous systems variables mapping table and establish standard macro file for each studied CAM systems; Second, designed macro file self-learning mechanism based on characteristics of the macro file, extracted implicit process information in macro files and saved to build General process Database; Finally, used the Genera

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Bansal, Veena, and Dhiraj Kumar Sati. "A Personalized and Scalable Machine Learning-Based File Management System." Tehnički glasnik 16, no. 2 (2022): 288–92. http://dx.doi.org/10.31803/tg-20220408162739.

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In this work, we present a hybrid image and document filing system that we have built. When a user wants to store a file in the system, it is processed to generate tags using an appropriate open-source machine learning system. Presently, we use OpenCV and Tesseract OCR for tagging files. OpenCV recognizes objects in the images and TesserAct recognizes text in the image. An image file is processed for object recognition using OpenCV as well for text/captions process using TesserAct, which are used for tagging the file. All other files are processed using Tesseract only for generating tags. The

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Choi, Sunoh, Jangseong Bae, Changki Lee, Youngsoo Kim, and Jonghyun Kim. "Attention-Based Automated Feature Extraction for Malware Analysis." Sensors 20, no. 10 (2020): 2893. http://dx.doi.org/10.3390/s20102893.

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Every day, hundreds of thousands of malicious files are created to exploit zero-day vulnerabilities. Existing pattern-based antivirus solutions face difficulties in coping with such a large number of new malicious files. To solve this problem, artificial intelligence (AI)-based malicious file detection methods have been proposed. However, even if we can detect malicious files with high accuracy using deep learning, it is difficult to identify why files are malicious. In this study, we propose a malicious file feature extraction method based on attention mechanism. First, by adapting the attent

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Abhilisha Pandurang Bhalke. "Enhancement the Efficiency of Work with P2P System." International Journal for Modern Trends in Science and Technology 06, no. 09 (2020): 68–72. http://dx.doi.org/10.46501/ijmtst060911.

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The P2P system should be used Proximity information to minimize the load of file request and improve the efficiency of the work .Clustering peers for their physical proximity can also rise the performance of the request file. However, very few currently work in a peer group based on demands as peers on physical proximity. Although structured P2P provides more efficient files requests than unstructured P2P, it is difficult to apply because of their strictly defined topology. In this work, we intending to introduce a system for exchange a P2P file for proximity and level of interest based on str

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Lee, Hoo-Ki, Sung-Hwa Han, and Daesung Lee. "Kernel-Based Container File Access Control Architecture to Protect Important Application Information." Electronics 12, no. 1 (2022): 52. http://dx.doi.org/10.3390/electronics12010052.

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Container platforms ease the deployment of applications and respond to failures. The advantages of container platforms have promoted their use in information services. However, the use of container platforms is accompanied by associated security risks. For instance, malware uploaded by users can leak important information, and malicious operators can cause unauthorized modifications to important files to create service errors. These security threats degrade the quality of information services and reduce their reliability. To overcome these issues, important container files should be protected

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Wu, Xing, and Mengqi Pei. "Image File Storage System Resembling Human Memory." International Journal of Software Science and Computational Intelligence 7, no. 2 (2015): 70–84. http://dx.doi.org/10.4018/ijssci.2015040104.

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Big Data era is characterized by the explosive increase of image files on the Internet, massive image files bring great challenges to storage. It is required not only the storage efficiency of massive image files but also the accuracy and robustness of massive image file management and retrieval. To meet these requirements, distributed image file storage system based on cognitive theory is proposed. According to the human brain function, humans can correlate image files with thousands of distinct object and action categories and sorted store these files. Thus the authors proposed to sorted sto

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Zhou, Hui Xiang, and Qiao Yan Wen. "New Solution for Small File Storage of Hadoop Based on Prefetch Mechanism." Advanced Materials Research 981 (July 2014): 205–8. http://dx.doi.org/10.4028/www.scientific.net/amr.981.205.

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Hadoop performance a significant advantage in dealing with large files, but it is ineffective if we use Hadoop to handle a large number of small files, because the physical address of the Hadoop file is stored in a single Namenode. Suppose that the size of a small file is 100Byte, if there are such a large number of these small files, it may lead to greatly reduce the utilization of Namenode memory, and due to the large number of small files make the index directory increase, it also lower the rate of user accessing to files. To solve the problem described above, this paper propose a new solut

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Matsuda, Yusuke, Masahiro Sasabe, and Tetsuya Takine. "Evolutionary Game Theory-Based Evaluation of P2P File-Sharing Systems in Heterogeneous Environments." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–12. http://dx.doi.org/10.1155/2010/369814.

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Peer-to-Peer (P2P) file sharing is one of key technologies for achieving attractive P2P multimedia social networking. In P2P file-sharing systems, file availability is improved by cooperative users who cache and share files. Note that file caching carries costs such as storage consumption and processing load. In addition, users have different degrees of cooperativity in file caching and they are in different surrounding environments arising from the topological structure of P2P networks. With evolutionary game theory, this paper evaluates the performance of P2P file sharing systems in such het

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Guzhov, Andrey, and Christoph Tobias Wirth. "Transformer-Based File Fragment Type Classification for File Carving in Digital Forensics." European Conference on Cyber Warfare and Security 24, no. 1 (2025): 169–76. https://doi.org/10.34190/eccws.24.1.3552.

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The recovery and reconstruction of fragmented data is a critical challenge in digital forensics, particularly when dealing with incomplete, corrupted, or partially deleted files in large-scale cybercrime investigations. Accurate classification of file fragment types is essential for reconstructing critical evidence, especially in environments characterized by high levels of data fragmentation, such as cyberattacks, data breaches, and the operation of illicit (“darknet”) data centers. Traditional file carving methods often struggle to efficiently handle these fragmented files, limiting their re

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An, Hai Ning, and Zi Yu Cheng. "Design of E-Archives Portfolio System Based on Signature Technology." Applied Mechanics and Materials 519-520 (February 2014): 32–35. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.32.

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Electronic archive files have its advantage on speedy Operation relative to the archive file, however, it is hard to prevent tampering and safe for the file. The E-archives digital signature technology is very important for the Electronic information security. We analysis needs for the system, and design system solutions after the comparing various Signature and Encryption Technology, and propose function and design for the main module. Besides, there is the detailed design on the User registration, DEA file structure.

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Ren, Jin. "Data File Security Strategy and Implementation Based on Fuzzy Control Algorithm." Security and Communication Networks 2022 (August 29, 2022): 1–10. http://dx.doi.org/10.1155/2022/2010419.

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Today there are few studies on data file security strategies, but with the increase in information technology, the more the security of data files cannot be ignored. In this paper, based on the research of data file security policy, a model of data file security interaction based on a fuzzy control algorithm is proposed, and the correct rate of the model proposed in this paper is improved by about 1.5% under the traditional FTP server-based model.

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Tong Minh Duc, Dang Thanh Quyen, and Bui The Truyen. "Proposal for an information-hiding model in executable files." Journal of Military Science and Technology, CSCE8 (December 30, 2024): 98–107. https://doi.org/10.54939/1859-1043.j.mst.csce8.2024.98-107.

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In this paper, the authors propose a model for hiding information in executable files on a 64-bit Windows environment based on embedding data into the empty spaces between sections in executable files. After embedding, the information does not increase the file size, does not affect the execution of the original file, and avoids false positives from antivirus programs. This hiding method is based on analyzing the file structures, the mechanism for concealing malicious code into the last section of the executable file, and the mechanism for loading files into executable memory. To enhance the s

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Cao, Wenjun, Junhong Liu, Guifan He, Zhengji Ma, and Xinyi Jiang. "Hybrid Encrypted Website based on Springboot." Frontiers in Humanities and Social Sciences 2, no. 12 (2022): 157–64. http://dx.doi.org/10.54691/fhss.v2i12.3216.

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With the rapid development of modern network technology, people's personal information, file transfer and e-commerce all need strong protection. DataencryptTechnology also came into being. This time, JAVA language is used. The front end is built based on LayUI framework, and the back end is a hybrid encrypted website developed based on SpringBoot technology. The system functions include file encryption, information transmission and system authority management. The popular encryption algorithms such as AES, DES, RC4, TripleDes, MD5, base64 and RSA are used to encrypt the data, which is realized

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Et. al., Jaichandran R. ,. "Biometric Based User Authentication and Privacy Preserving In Cloud Environment." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 347–50. http://dx.doi.org/10.17762/turcomat.v12i2.801.

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Cloud technology provides advantage of storage services for individuals and organizations thus making file access easy and simple irrespective of location. The major concern is the security while the file is been outsourced. Maintaining integrity, file unchanged, gaining confidentiality during file outsourced plays an important role. In this paper, we propose identity based data outsourcing technique to provide data security during authorization and storage. For data authorization we propose finger print based authentication. The fingerprint based authentication is performed using Minutae Map

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Wang, Zhi Dong, Gang Wang, and Bo Yang. "NXD-Based SCL File Management and Dynamic Implementation in IEDs." Advanced Materials Research 433-440 (January 2012): 3629–35. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3629.

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In IEC61850 substation automation systems (SASs), substation configuration description language (SCL) is suggested to assure seamless information exchange among various intelligent electronic devices (IEDs) from different manufacturers in the form of unambiguous and standardized XML. In the paper, native XML database (NXD) is proposed to store and manage SCL files since NXD takes advantage over XML enabled database (XED) in maintaining information integrity that is the most important factor of SCL file management. And the detailed process of SCL file dynamic implementation in IEDs is demonstra

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(Corresponding Author), Aiswarya S. (Corresponding Author), and Gomathi R. "CHAOS BASED CRYPTOGRAPHY AND RECTANGULAR SHAPE BASED STEGANOGRAPHY TECHNIQUE USING LSB." Malaysian Journal of Computer Science 36, no. 4 (2023): 368–80. http://dx.doi.org/10.22452/mjcs.vol36no4.3.

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Multimedia means text, image, audio or video file and transferring multimedia files through the internet are noticeable one. Multimedia securing techniques are additionally used to protect the file. Securing multimedia image file is difficult by using formal encryption techniques such as AES, RSA because of high correlation between pixels. For encryption, chaotic map with XOR function is used and to provide double protection, steganography technique is used. After the encryption, encrypted image is hidden into the cover image file using LSB-steganography technique. For that, from the cover ima

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Albakova, Aminat A., and Diana D. Maigova. "A MACHINE LEARNING-BASED MALWARE DETECTION MODEL." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 12/3, no. 153 (2024): 115–23. https://doi.org/10.36871/ek.up.p.r.2024.12.03.012.

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Every year, malware authors create more sophisticated and sophisticated malware that can harm our computers. Traditional methods based on searching for program signatures are no longer effective in solving the problem of malware detection. It is being replaced by automatic file analysis, which is a more promising approach to detecting suspicious files. Machine learning methods are increasingly being used to detect such malware. However, such solutions may require a lot of computing resources to perform their operations. Therefore, the task arises of creating an optimal machine learning model i

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Aryanti, Aryanti, and Ikhthison Mekongga. "Implementation of Rivest Shamir Adleman Algorithm (RSA) and Vigenere Cipher In Web Based Information System." E3S Web of Conferences 31 (2018): 10007. http://dx.doi.org/10.1051/e3sconf/20183110007.

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Data security and confidentiality is one of the most important aspects of information systems at the moment. One attempt to secure data such as by using cryptography. In this study developed a data security system by implementing the cryptography algorithm Rivest, Shamir Adleman (RSA) and Vigenere Cipher. The research was done by combining Rivest, Shamir Adleman (RSA) and Vigenere Cipher cryptographic algorithms to document file either word, excel, and pdf. This application includes the process of encryption and decryption of data, which is created by using PHP software and my SQL. Data encryp

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Chen, Qingyu, Longsheng Wu, Li Li, Xuhan Ma, and Xu An Wang. "Method for Improving Data Security in Register Files Based on Multiple Pipeline Restart." International Journal of Information Technology and Web Engineering 10, no. 3 (2015): 17–32. http://dx.doi.org/10.4018/ijitwe.2015070102.

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Data security in the register file significantly decreases as a result of technology scaling. Based on pipeline restart, the method of improving the data security and reliability in register files is presented in this paper. As the data and its replica simultaneously exist as a redundant copy of each other in half-custom register files, when an uncorrectable error is detected in the data during the access of the register file, its replica will be checked for subsequent processor operation by the restart of pipeline. In addition, the correctable error in data or its replica can also be scrubbed

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Raad Ali, Rabei, Kamaruddin Malik Mohamad, Sapiee Jamel, and Shamsul Kamal Ahmad Khalid. "Extreme Learning Machine Classification of File Clusters for Evaluating Content-based Feature Vectors." International Journal of Engineering & Technology 7, no. 4.36 (2018): 167–71. http://dx.doi.org/10.14419/ijet.v7i4.36.23738.

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In the digital forensic investigation and missing data files retrieval in general, there is a challenge of recovering files that have missing system information. The recovery process entails applying a number of methods to determine the type, the contents and the structure of each data file clusters such as JPEG, DOC, ZIP or TXT. This paper studies the effects of three content-based features extraction methods in improving the classification of JPEG File clusters. The methods are Byte Frequency Distribution, Entropy, and Rate of Change. Consequently, an Extreme Learning Machine (ELM) neural ne

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Dr Asha Ambhaikar, Mr Abhishek Guru,. "AES AND RSA-BASED HYBRID ALGORITHMS FOR MESSAGE ENCRYPTION & DECRYPTION." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (2021): 273–79. http://dx.doi.org/10.17762/itii.v9i1.129.

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File encryption is an easy means of securing personal or business data protection. The RSA and AES representative encryption algorithms are not capable of satisfying the criteria of file encryption reliability and security when used separately. A hybrid encryption algorithm mixing AES and RSA algorithms is suggested in this paper to overcome the above issues in order to solve file encryption performance and security problems. The experimental results suggest that the RSA and AES hybrid encryption algorithm can not only encrypt files, but also provide the benefits of efficiency and protection o

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Et. al., Balal Sohail. "Macro Based Malware Detection System." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 5776–87. http://dx.doi.org/10.17762/turcomat.v12i3.2254.

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Macro based Malware has taken a great rise is these recent years, Attackers are now using this malware for hacking purposes. This virus is embedded inside the macro of a word document and can be used to infect the victim’s machine. These infected files are usually sent through emails and all antivirus software are unable to detect the virus due to the format of the file. Due to the format being a rich text file and not an executable file, the infected file is able to bypass all security. Hence it is necessary to develop a detection system for such attacks to help reduce the threat. Techn

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Aqilah Mohd Nahar, Nur Farah, Nurul Hidayah Ab Rahman, and Kamarudin Malik Mohammad. "E-Raser: File Shredder Application With Content Replacement by Using Random Words Function." JOIV : International Journal on Informatics Visualization 2, no. 4-2 (2018): 313. http://dx.doi.org/10.30630/joiv.2.4-2.175.

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Data shredding indicates a process of irreversible file destruction while file shredder is the program designed to render computer-based files unreadable by implementing overwriting method to destroy data in the content of a file. The addressable problem with existence of file recovery tools is it may lead to data leakage, exploitation or dissemination from an unauthorized person. Thus, this study proposed a file shredding application named E-Raser which replacing the content of the file using random words function algorithm. A file shredder application named E-Raser was developed to shred Mic

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Abdalla, Rawand Raouf, and Alaa Khalil Jumaa. "Log File Analysis Based on Machine Learning: A Survey." UHD Journal of Science and Technology 6, no. 2 (2022): 77–84. http://dx.doi.org/10.21928/uhdjst.v6n2y2022.pp77-84.

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In the past few years, software monitoring and log analysis become very interesting topics because it supports developers during software developing, identify problems with software systems and solving some of security issues. A log file is a computer-generated data file which provides information on use patterns, activities, and processes occurring within an operating system, application, server, or other devices. The traditional manual log inspection and analysis became impractical and almost impossible due logs’ nature as unstructured, to address this challenge, Machine Learning (ML) is reg

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Wu, Long Tao, Tie Ning Wang, and Hai Rong Hu. "Research on Storage Strategy of Unstructured Small Files in HDFS." Applied Mechanics and Materials 644-650 (September 2014): 3053–56. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3053.

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With the wide use of HDFS and increasing scale of small files, problems of HDFS in small files storage gradually exposed. Thus the article put forward a storage strategy of unstructured small file based on the type of file, and optimized the architecture of cluster to save memory and improve the efficiency of file access. Through experiment, the strategy is proved to be effective and reliable.

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