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Journal articles on the topic 'Remote data integrity checking'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Mohamed Sheriff S, R. "Integrating RSA Encryption in Remote Data Integrity Checking." International Journal of Science and Research (IJSR) 13, no. 4 (2024): 800–804. http://dx.doi.org/10.21275/mr24405171146.

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2

A., Nagesh, and Qurratul Ain Javeria. "Remote Data Integrity Check." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 5 (2020): 661–64. https://doi.org/10.35940/ijeat.E9780.069520.

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In Cloud Storage Server, data integrity plays an important role, given cloud clients might not be aware whether the data is safe or has been tampered with. This system introduces identity-based signature algorithms to protect data that belongs to the data owner and gets the status of cloud data by means of verification through signatures. Since it is practically not possible for the data owner to be available online all the time for checking cloud data integrity, Third party auditor is tasked with verifying the data integrity every time instead of data owner. The Third party auditors should no

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3

B P,Sadhana, Sunil. "Remote Data Integrity Checking in Cloud Storage." International Journal of Advances in Scientific Research and Engineering 4, no. 7 (2018): 40–43. http://dx.doi.org/10.31695/ijasre.2018.32789.

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4

Fan, X., G. Yang, Y. Mu, and Y. Yu. "On Indistinguishability in Remote Data Integrity Checking." Computer Journal 58, no. 4 (2013): 823–30. http://dx.doi.org/10.1093/comjnl/bxt137.

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5

Chen, Bo, and Reza Curtmola. "Remote data integrity checking with server-side repair1." Journal of Computer Security 25, no. 6 (2017): 537–84. http://dx.doi.org/10.3233/jcs-16868.

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6

Kulkarni, Neha Narayan, and Shitalkumar A. Jain. "Checking integrity of data and recovery in the cloud environment." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 2 (2019): 626–33. https://doi.org/10.11591/ijeecs.v13.i2.pp626-633.

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Cloud computing provides many services to access them dynamically over the internet as per the user's demand. The data is growing in tremendous amount and it should be managed correctly where storage service proves efficient. The Data stored online can be hacked by the third party so to secure this data verifying integrity is essential. Because of the human error or natural disaster, the data may get deleted from the cloud servers. Therefore, there is a requirement of improving the existing algorithm to recover data efficiently. Many algorithms are proposed, but they lack in efficiency, co

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7

N. Saranya, N. Saranya, and Dr V. Thiagarasu Dr.V.Thiagarasu. "A Quasigroup Encryption Based Remote Data Integrity Checking Protocol for Secured Online Storage Services." International Journal of Scientific Research 2, no. 2 (2012): 55–57. http://dx.doi.org/10.15373/22778179/feb2013/22.

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8

Wu, Tong, Guomin Yang, Yi Mu, Rongmao Chen, and Shengmin Xu. "Privacy-enhanced remote data integrity checking with updatable timestamp." Information Sciences 527 (July 2020): 210–26. http://dx.doi.org/10.1016/j.ins.2020.03.057.

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9

Ushamani, G. D* Dr Y.C Kiran. "SECURE AND EFFICIENT DATA INTEGRITY PROOF AND RECOVERING DATA FOR IDENTITY-BASED PROXY-ORIENTED DATA UPLOADING IN CLOUD COMPUTING (IB-PODUC)." Global Journal of Engineering Science and Research Management 4, no. 5 (2017): 51–57. https://doi.org/10.5281/zenodo.573506.

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More customers might need to store their data to PCS (open cloud servers) alongside the fast change of distributed computing. New security issues must be explained with a specific end goal to help more customers process their data in people in general cloud. Right when the customers is constrained to get to PCS, he will appoint its intermediary too handle his data and exchange them. On the other hand, remote data coordinating checking is additionally an imperative security issue in broad daylight distributed storage. It makes the customers check whether their outsourced data is kept set up wit

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10

B.V.Satya Vara Prasad, B., Ch Hari Kishan, S. P. Praveen, and Ch Mani Teja. "Identity-Based Data integrity checking in public cloud with bilinear pairings." International Journal of Engineering & Technology 7, no. 2.7 (2018): 209. http://dx.doi.org/10.14419/ijet.v7i2.7.10294.

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A consistently expanding number of clients should need to stock their information in servers that are public close by the quick headway of cloud computing. Novel security issues must be grasped remembering the true objective to empower more number of customers to process their information in broad daylight. Exactly when the user is confined to get to PCS, then they will assign its intermediary to process their information and transfer them. However remote information trustworthiness inspection is in like manner a basic security issue in broad daylight distributed storing. This impacts the clie

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11

Sasikala, C., and C. Shoba Bindu. "Certificateless remote data integrity checking using lattices in cloud storage." Neural Computing and Applications 31, no. 5 (2018): 1513–19. http://dx.doi.org/10.1007/s00521-018-3546-6.

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12

Haifeng, Ma, Gao Zhenguo, and Yao Nianmin. "Hierarchical remote data possession checking method based on massive cloud files." Journal of Algorithms & Computational Technology 11, no. 2 (2016): 126–34. http://dx.doi.org/10.1177/1748301816682243.

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Cloud storage service enables users to migrate their data and applications to the cloud, which saves the local data maintenance and brings great convenience to the users. But in cloud storage, the storage servers may not be fully trustworthy. How to verify the integrity of cloud data with lower overhead for users has become an increasingly concerned problem. Many remote data integrity protection methods have been proposed, but these methods authenticated cloud files one by one when verifying multiple files. Therefore, the computation and communication overhead are still high. Aiming at this pr

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13

Kulkarni, Neha Narayan, and Shitalkumar A. Jain. "Checking integrity of data and recovery in the cloud environment." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 2 (2019): 626. http://dx.doi.org/10.11591/ijeecs.v13.i2.pp626-633.

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<p>Cloud computing provides many services to access them dynamically over the internet as per the user's demand. The data is growing in tremendous amount and it should be managed correctly where storage service proves efficient. The Data stored online can be hacked by the third party so to secure this data verifying integrity is essential. Because of the human error or natural disaster, the data may get deleted from the cloud servers. Therefore, there is a requirement of improving the existing algorithm to recover data efficiently. Many algorithms are proposed, but they lack in efficienc

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14

Lu, Yu, and Fei Hu. "Secure Dynamic Big Graph Data: Scalable, Low-Cost Remote Data Integrity Checking." IEEE Access 7 (2019): 12888–900. http://dx.doi.org/10.1109/access.2019.2892442.

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15

Zhang, Jianhong, and Hongxin Meng. "Comment on id-based remote data integrity checking with data privacy preserving." IOP Conference Series: Materials Science and Engineering 231 (September 2017): 012006. http://dx.doi.org/10.1088/1757-899x/231/1/012006.

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16

A.Mohamed, Aslam, A.M.Niyas, Abdul Rahuman S.M., SB.Shahjahan, and Thahaseen A.Aafiya. "Cloud Storage Public Integrity Verification Using Blockchain Technology to Thwart Tardy Auditors." Journal of Advancement in Software Engineering and Testing 6, no. 2 (2023): 14–20. https://doi.org/10.5281/zenodo.7935566.

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<em>In cloud storage, remote data integrity checking is critical. Clients may be compelled to check whether their outsourced data is preserved without downloading the entire set. Clients may be required to store their data on multiple cloud Servers in certain application scenarios. In addition, the integrity checking procedure needs to be cost-effective in order to save the verifier money. From these two points, we propose a brand-new remote data integrity checking model with two schemes called BLS (Batch Level Signature). Due to an effective cryptographic primitive known as batch signature, w

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17

Shiva Krishna, Maddhukuri, Sravani D, and Anjana Triveda.B. "Enhance Data Integrity For Data Storage In Cloud Computing." International Journal of Engineering & Technology 7, no. 2.32 (2018): 68. http://dx.doi.org/10.14419/ijet.v7i2.32.13529.

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In this paper, a well secured and effective AES based framework is proposed for proposed for evaluating individual records put away at the untrusted server. The gadget guarantees the of certainties respectability and accessibility. The gadget bolsters open reviewing with the guide of using TPA and privateness holding by a method for not releasing the data to TPA amid trustworthiness check system. Through regular respectability checking, the machine guarantees records ownership at a remote server.

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18

Kaushik, Shweta, and Charu Gandhi. "Fine Grained Decentralized Access Control With Provable Data Transmission and User Revocation in Cloud." International Journal of Information Security and Privacy 15, no. 2 (2021): 29–52. http://dx.doi.org/10.4018/ijisp.2021040102.

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Cloud computing started a new era for IT enterprises. It allows the movement of application from local to remote location, massive data storage. Owner has access to centralized or decentralized data storage server, where data management handled by remote vendor. But, the heterogeneous and dynamic nature of cloud introduces security challenges. Among them, access control and integrity checking are most important which incur high consideration. Attribute-based encryption is one of the access control technique which allows integration of access policies, attributes, and encrypted data. In this pa

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19

Chen, Yu, Feng Wang, Liehuang Zhu, and Zijian Zhang. "A Survey of Remote Data Integrity Checking: Techniques and Verification Structures." International Journal of Grid and Distributed Computing 8, no. 4 (2015): 179–98. http://dx.doi.org/10.14257/ijgdc.2015.8.4.18.

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20

Akarapu, Mahesh, Sheshikala Martha, Koteshwar Rao Donthamala, B. Prashanth, G. Sunil, and K. Mahender. "Checking For Identity-Based Remote Data Integrity Cloud Storage with Perfect Data Privacy." IOP Conference Series: Materials Science and Engineering 981 (December 5, 2020): 022034. http://dx.doi.org/10.1088/1757-899x/981/2/022034.

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21

Feng, Yiteng, Guomin Yang, and Joseph K. Liu. "A new public remote integrity checking scheme with user and data privacy." International Journal of Applied Cryptography 3, no. 3 (2017): 196. http://dx.doi.org/10.1504/ijact.2017.086232.

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22

Feng, Yiteng, Guomin Yang, and Joseph K. Liu. "A new public remote integrity checking scheme with user and data privacy." International Journal of Applied Cryptography 3, no. 3 (2017): 196. http://dx.doi.org/10.1504/ijact.2017.10007296.

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23

Peng, Su, Fucai Zhou, Jin Li, Qiang Wang, and Zifeng Xu. "Efficient, dynamic and identity-based Remote Data Integrity Checking for multiple replicas." Journal of Network and Computer Applications 134 (May 2019): 72–88. http://dx.doi.org/10.1016/j.jnca.2019.02.014.

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24

Yao, Chuan, Li Xu, Xinyi Huang, and Joseph K. Liu. "A secure remote data integrity checking cloud storage system from threshold encryption." Journal of Ambient Intelligence and Humanized Computing 5, no. 6 (2014): 857–65. http://dx.doi.org/10.1007/s12652-014-0236-9.

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25

Hussain, A. Ashik, and R. C. Subashini. "Identity-Based Proxy-Oriented Data Uploading and Remote Data Integrity Checking in Public Cloud." International Journal of Computer Sciences and Engineering 7, no. 4 (2019): 400–405. http://dx.doi.org/10.26438/ijcse/v7i4.400405.

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26

Wang, Huaqun, Debiao He, and Shaohua Tang. "Identity-Based Proxy-Oriented Data Uploading and Remote Data Integrity Checking in Public Cloud." IEEE Transactions on Information Forensics and Security 11, no. 6 (2016): 1165–76. http://dx.doi.org/10.1109/tifs.2016.2520886.

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27

Yu, Yong, Man Ho Au, Giuseppe Ateniese, et al. "Identity-Based Remote Data Integrity Checking With Perfect Data Privacy Preserving for Cloud Storage." IEEE Transactions on Information Forensics and Security 12, no. 4 (2017): 767–78. http://dx.doi.org/10.1109/tifs.2016.2615853.

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28

Zhuo Hao, Sheng Zhong, and Nenghai Yu. "A Privacy-Preserving Remote Data Integrity Checking Protocol with Data Dynamics and Public Verifiability." IEEE Transactions on Knowledge and Data Engineering 23, no. 9 (2011): 1432–37. http://dx.doi.org/10.1109/tkde.2011.62.

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29

B.Swarajya, Lakshmi1 A.D.Sivarama Kumar2. "Identity-Based Proxy-Oriented Data Uploading and Remote Data Integrity checking in Public Cloud." Identity-Based Proxy-Oriented Data Uploading and Remote Data Integrity checking in Public Cloud 05, no. 22 (2018): 744–55. https://doi.org/10.5281/zenodo.7810823.

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The Identity based plan gives proficient dynamic data operations to data in distributed computing. This is on the grounds that client wishes to do different block level operation on the data document by assuring the data integrity. It accept that CSS will give the right data to client without deceiving the client. The block Level operation performed in fine grained updates. To accomplish this, this plan uses an adaptable data segmentation strategy and a data auditing convention. The data segmentation is the method for splitting the entire document into countable number of parts and are put awa

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30

B.Swarajya, Lakshmi. "Identity-Based Proxy-Oriented Data Uploading and Remote Data Integrity checking in Public Cloud." Identity-Based Proxy-Oriented Data Uploading and Remote Data Integrity checking in Public Cloud 5, no. 22 (2018): 744–57. https://doi.org/10.5281/zenodo.7856210.

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The Identity based plan gives proficient dynamic data operations to data in distributed computing. This is on the grounds that client wishes to do different block level operation on the data document by assuring the data integrity. It accept that CSS will give the right data to client without deceiving the client. The block Level operation performed in fine grained updates. To accomplish this, this plan uses an adaptable data segmentation strategy and a data auditing convention. The data segmentation is the method for splitting the entire document into countable number of parts and are put awa

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31

WANG, Huaqun, Keqiu LI, Kaoru OTA, and Jian SHEN. "Remote Data Integrity Checking and Sharing in Cloud-Based Health Internet of Things." IEICE Transactions on Information and Systems E99.D, no. 8 (2016): 1966–73. http://dx.doi.org/10.1587/transinf.2015ini0001.

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32

Yu, Yong, Man Ho Au, Yi Mu, et al. "Enhanced privacy of a remote data integrity-checking protocol for secure cloud storage." International Journal of Information Security 14, no. 4 (2014): 307–18. http://dx.doi.org/10.1007/s10207-014-0263-8.

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33

Zhao, Quanyu, Siyi Chen, Zheli Liu, Thar Baker, and Yuan Zhang. "Blockchain-based privacy-preserving remote data integrity checking scheme for IoT information systems." Information Processing & Management 57, no. 6 (2020): 102355. http://dx.doi.org/10.1016/j.ipm.2020.102355.

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34

Jiao, Wen Zhe, Guo Qing Wang, Xiao Xue Ye, and Zheng Jun Zhai. "Efficient Dynamic Data Possession Checking in Cloud Computing." Advanced Materials Research 709 (June 2013): 603–10. http://dx.doi.org/10.4028/www.scientific.net/amr.709.603.

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Cloud computing has been envisioned as a next generation information technology (IT) paradigm. The risk of losing data stored with any untrustworthy service provider is the key barrier to widespread uptake of cloud computing. This paper proposes an algebraic signature based remote data possession checking (RPDP) scheme to verify the integrity of the data stored in the cloud. This scheme uses skip-list to support fully dynamic data operation, including insertion, modification and deletion. The scheme allows verification without the need for the auditor to compare against the original data, whic

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35

Liu, Guangjun, Wangmei Guo, Ximeng Liu, and Jinbo Xiong. "Security Analysis and Improvements on a Remote Integrity Checking Scheme for Regenerating-Coding-Based Distributed Storage." Security and Communication Networks 2021 (April 21, 2021): 1–8. http://dx.doi.org/10.1155/2021/6652606.

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Enabling remote data integrity checking with failure recovery becomes exceedingly critical in distributed cloud systems. With the properties of a lower repair bandwidth while preserving fault tolerance, regenerating coding and network coding (NC) have received much attention in the coding-based storage field. Recently, an outstanding outsourced auditing scheme named NC-Audit was proposed for regenerating-coding-based distributed storage. The scheme claimed that it can effectively achieve lightweight privacy-preserving data verification remotely for these networked distributed systems. However,

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36

Wang, Huaqun, Debiao He, Jia Yu, Neal N. Xiong, and Bin Wu. "RDIC: A blockchain-based remote data integrity checking scheme for IoT in 5G networks." Journal of Parallel and Distributed Computing 152 (June 2021): 1–10. http://dx.doi.org/10.1016/j.jpdc.2021.02.012.

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37

FU, Shaojing, Dongsheng WANG, Ming XU, and Jiangchun REN. "Cryptanalysis of Remote Data Integrity Checking Protocol Proposed by L. Chen for Cloud Storage." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E97.A, no. 1 (2014): 418–20. http://dx.doi.org/10.1587/transfun.e97.a.418.

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38

Avudiappan, T., and R. Priya. "Preserving Remote Data Integrity from Spoofing Attack in Cloud Environment using Probabilistic Checking Method." INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH 05, Special Issue 07 (2019): 174–80. http://dx.doi.org/10.23883/ijrter.conf.20190304.030.tasbc.

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39

Ragini, K. Lakshmi, V. Rani Mounika, and K. Sandeep. "A Novel Approach for Data Uploading and Remote Data Integrity Checking Based On Public Key Cryptography." International Journal of Advanced engineering, Management and Science 3, no. 4 (2017): 339–42. http://dx.doi.org/10.24001/ijaems.3.4.9.

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40

Yamunadevi, Loganathan, and Kaliannan Thilagavathy. "Efficient Privacy-Preserving Remote Data Possession Checking Protocol for Critical Information Infrastructure." JUCS - Journal of Universal Computer Science 24, no. (5) (2018): 603–21. https://doi.org/10.3217/jucs-024-05-0603.

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Critical infrastructure systems like finance, energy, transport, and healthcare provide very vital and crucial services to the government sectors, private organizations and general public. These services need reliable and scalable infrastructure to support their dynamically growing needs. Cloud computing provides such a reliable and scalable, as well as cost-effective infrastructure to support the ever increasing needs of those critical infrastructure providers. The critical sectors like healthcare, finance, energy and many other government and private organizations as well as individuals are

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41

H. Abbdal Refish, Salah. "Data integrity proof and secure computation based on elgamal algorithm and iris extraction in cloud storage." International Journal of Engineering & Technology 7, no. 4 (2019): 6453–57. http://dx.doi.org/10.14419/ijet.v7i4.23293.

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Storage servers may not be fully trusted in cloud storage. So, it is of critical importance for users to check whether the data stored are kept intact or not. In this paper, an efficient and secure integrity checking method based on iris feature extraction and Elgamal algorithm is presented. This method gives the cloud users more confidence in detecting any block that has been modified. Additionally, the proposed scheme supports data dynamics by employing Merkle Hash Tree (MHT), which is used to store the location of each data operation. Data dynamics include such data operations as block modi

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42

K Ravindranath, P. Raja Sekhar Reddy ,. "Enhancing Secure and Reliable Data Transfer through Robust Integrity." Journal of Electrical Systems 20, no. 1s (2024): 900–910. http://dx.doi.org/10.52783/jes.841.

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Cloud computing has emerged as a highly efficient platform that allows multiple users to access various services through virtualization on a shared physical network. The participants in a Cloud Computing (CC) environment include Cloud Service Providers (CSP), Consumers, Brokers, and Auditors. The advantages of cloud storage, such as universal network access, convenience, and scalability, have led to data owners preferring to store their data on remote servers. However, the transfer of outsourced data has become a critical requirement for cloud users due to the availability of different cloud s

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43

L, Mangala, and Rajendra A B. "A Review on Identity-Based Proxy Oriented Data Uploading and Remote Data Integrity Checking in Public Cloud." IJARCCE 6, no. 4 (2014): 825–27. http://dx.doi.org/10.17148/ijarcce.2017.64153.

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44

Liu, Ruoshui, Jianghui Liu, Jingjie Zhang, and Moli Zhang. "Video Data Integrity Verification Method Based on Full Homomorphic Encryption in Cloud System." International Journal of Digital Multimedia Broadcasting 2018 (October 22, 2018): 1–9. http://dx.doi.org/10.1155/2018/7543875.

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Cloud computing is a new way of data storage, where users tend to upload video data to cloud servers without redundantly local copies. However, it keeps the data out of users' hands which would conventionally control and manage the data. Therefore, it becomes the key issue on how to ensure the integrity and reliability of the video data stored in the cloud for the provision of video streaming services to end users. This paper details the verification methods for the integrity of video data encrypted using the fully homomorphic crytosystems in the context of cloud computing. Specifically, we ap

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45

Bian, Genqing, Fan Zhang, Rong Li, and Bilin Shao. "Certificateless Remote Data Integrity Auditing with Access Control of Sensitive Information in Cloud Storage." Electronics 11, no. 19 (2022): 3116. http://dx.doi.org/10.3390/electronics11193116.

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With the spread of cloud storage technology, checking the integrity of data stored in the cloud effectively is increasingly becoming a concern. Following the introduction of the first remote data integrity audit schemes, different audit schemes with various characteristics have been proposed. However, most of the existing solutions have problems such as additional storage overhead and additional certificate burden. This paper proposes a certificateless remote data integrity auditing scheme which takes into account the storage burden and data privacy issues while ensuring the correctness of the

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46

Moorthy, Ms Vaishnavi. "Implementing Remote Data Integrity Checking Protocol for Secured Storage Services with Data Dynamics and Public Verifiability In Cloud Computing." IOSR Journal of Engineering 02, no. 03 (2012): 496–500. http://dx.doi.org/10.9790/3021-0203496500.

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47

Ameen, J. Noorul, J. Jamal Mohamed, and N. Nilofer Begam. "Dynamic Auditing Protocol for Efficient and Secure Data Storage in Cloud Computing." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 06 (2014): 932–37. https://doi.org/10.5281/zenodo.14742808.

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Cloud computing, where the data has been stored on cloud servers and retrieved by users (data consumers) the data from cloud servers. However, there are some security challenges which are in need of independent auditing services to verify the data integrity and safety in the cloud. Until now a numerous methods has been developed for remote integrity checking whichever only serve for static archive data and cannot be implemented to the auditing service if the data in the cloud is being dynamically updated. Therefore, it is expected to design an efficient and secure dynamic auditing protocol to

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48

Hema, V., and Dr M. Ganaga Durga. "An improved novel Hill cipher using RCLT Title of the article." International Journal of Engineering & Technology 7, no. 3.3 (2018): 209. http://dx.doi.org/10.14419/ijet.v7i2.33.13888.

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Security is the only buoyant to the frailest link. In this communication world, the implementation of sturdy cryptographic and integrity checking algorithms is the smart solution to the frailest link. So, the proposed paper provides the new-fangled pattern of cryptographic scheme in concert with Number Theory which safeguard the integrity and confidentiality of intricate data and communications. By using this system, client’s burden of security issues associated with the data hosting in the untrusted remote server is abridged. By manipulating some features of the Galois Field, a new method of

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49

Hao, Zhuo, Sheng Zhong, and Nenghai Yu. "A Time-Bound Ticket-Based Mutual Authentication Scheme for Cloud Computing." International Journal of Computers Communications & Control 6, no. 2 (2011): 227. http://dx.doi.org/10.15837/ijccc.2011.2.2170.

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<p>Cloud computing is becoming popular quickly. In cloud computing, people store their important data in the cloud, which makes it important to ensure the data integrity and availability. Remote data integrity checking enables the client to perform data integrity verification without access to the complete file. This service brings convenience to clients, but degrades the server’s performance severely. Proper schemes must be designed to reduce the performance degradation.<br /> In this paper, a time-bound ticket-based mutual authentication scheme is proposed for solving this proble

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50

Tessy, Vincent* Mrs.Krishnaveni.V.V. "ROBUST AND EFFICIENT PRIVACY PRESERVING PUBLIC AUDITING FOR REGENERATING-CODE-BASED CLOUD STORAGE." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 6 (2017): 96–102. https://doi.org/10.5281/zenodo.802838.

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Cloud computing is gaining more popularity because of its guaranteed services like online data storage and backup solutions, Web-based e-mail services, virtualized infrastructure etc. User is allowed to access the data stored in a cloud anytime, anywhere using internet connected device with low cost. To provide security to outsourced data in cloud storage against various corruptions, adding fault tolerance to cloud storage together with data integrity checking and failure reparation becomes critical. Existing methods for remote regenerating-coded data checking only provide private auditing, wh

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