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Relevant bibliographies by topics / Automatic attacks finder

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Academic literature on the topic 'Automatic attacks finder'

Author: Grafiati

Published: 4 May 2024

Last updated: 31 July 2025

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Journal articles on the topic "Automatic attacks finder"

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Hatture, Sanjeeva Kumar M., and Shweta Policepatil. "Masquerade Attack Analysis for Secured Face Biometric System." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 2 (2021): 225–32. http://dx.doi.org/10.35940/ijrte.b6309.0710221.

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Biometrics systems are mostly used to establish an automated way for validating or recognising a living or nonliving person's identity based on physiological and behavioural features. Now a day’s biometric system has become trend in personal identification for security purpose in various fields like online banking, e-payment, organizations, institutions and so on. Face biometric is the second largest biometric trait used for unique identification while fingerprint is being the first. But face recognition systems are susceptible to spoof attacks made by nonreal faces mainly known as masquerade

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Shweta, Policepatil, and Kumar M. Hatture Sanjeeva. "Masquerade Attack Analysis for Secured Face Biometric System." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 2 (2021): 225–32. https://doi.org/10.35940/ijrte.B6309.0710221.

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Biometrics systems are mostly used to establish an automated way for validating or recognising a living or nonliving person's identity based on physiological and behavioural features. Now a day’s biometric system has become trend in personal identification for security purpose in various fields like online banking, e-payment, organizations, institutions and so on. Face biometric is the second largest biometric trait used for unique identification while fingerprint is being the first. But face recognition systems are susceptible to spoof attacks made by nonreal faces mainly known as m

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V. Chakole, Vijay, and Swati R. Dixit. "MLbFA." International journal of electrical and computer engineering systems 16, no. 4 (2025): 321–32. https://doi.org/10.32985/ijeces.16.4.5.

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The primary aim of the research paper is to deploy an efficient automated face antispoofing system that could consider replay attacks in the presence of partial occlusions. For this purpose, the article introduces a novel machine learning-based face- antispoofing (MLbFA) framework. The system incorporates a modified version of the difference of the Gaussian technique to compute the overall contrast of the input images which is later used to enhance the contrast of the image using contrast correction. On the other hand, the image details, especially the edges are enhanced for significant featur

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Sireesha, V. N., and Attada Manasa. "Fingerprint and Iris Biometric Controlled Smart Banking Machine Embedded with GSM Technology for OTP." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44497.

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This project aims to develop a highly secure and user-friendly smart banking machine that integrates fingerprint and iris biometric authentication with GSM technology for OTP (One-Time Password) verification. The system eliminates the need for traditional ATM cards and PINs, replacing them with advanced biometric authentication techniques to enhance security and convenience. The GSM module ensures secure OTP delivery to registered mobile numbers, providing an additional security layer for transactions. Biometrics technology is rapidly progressing and offers attractive opportunities and inventi

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Haritha MP, Vishnuprasad R, and Sreeyuktha R. "Double Layered Security System for Smart ATM by Fingerprint and RF Technology." International Journal of Advanced Research in Science, Communication and Technology, May 19, 2022, 711–21. http://dx.doi.org/10.48175/ijarsct-3842.

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The crucial prerequisite in these days is to get rid of various forms of attacks. Nowadays, for financial transaction, automated teller machines (ATMs) are the mostly used gadgets in which personal identification numbers (PINs) are generally used for transaction. But personal identification numbers (PINs) are not secured from many types of threats (spoofing, eavesdropping, man-in-the middle attack etc.), which can affect the security of the confidential and private information. Due to this reason, different biometric systems gain popularity worldwide for their behavioral and physiological feat

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Nivedha, R. Sri, P. V. Sorna Saratha Devi, and Mrs G. Akilandeswary. "Upgrading ATM Security Using Finger Vein Authentication and Anti Theft Module." International Journal of Advanced Research in Science, Communication and Technology, April 17, 2021, 132–37. http://dx.doi.org/10.48175/ijarsct-993.

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Since crimes pertaining to ATMs have been increasing in recent times, there is a crying need to look into the issue. There have been various systems to prevent the misuse of ATM cards or breaking open the ATM machine but there is a lack of a single system to secure the whole ATM from both physical and logical attacks. This paper proposes a two-module system that contains an RFID and finger-vein authentication module as an alternative to the conventional ATM cards and a Raspberry Pi module for continuous monitoring and automated control when the security of the ATM is at risk. This two-factor a

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Praveen, R., and P. Pabitha. "A secure lightweight fuzzy embedder based user authentication scheme for internet of medical things applications." Journal of Intelligent & Fuzzy Systems, February 9, 2023, 1–20. http://dx.doi.org/10.3233/jifs-223617.

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The Internet of Medical Things (IoMT) is a network of medical devices, hardware infrastructure, and software that allows healthcare information technology to be communicated over the web. The IoMT sensors communicate medical data to server for the quick diagnosis. As, it handles private and confidential information of a user, security is the primary objective. The existing IoT authentication schemes either using two-factor(Username, password) or multi-factor (username, password, biometric) to authenticate a user. Typically the structural characteristics-based biometric trait like Face, Iris, P

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Dr. Manjula V., Fathimathul Muhsina, Gouthami S Kunder, Mahin Arif, and Saramma Lafifa. "E-Assistant for Paralyzed Patients using Internet of Things." International Journal of Advanced Research in Science, Communication and Technology, April 26, 2023, 115–20. http://dx.doi.org/10.48175/ijarsct-9484.

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There are lots of hospitals and clinics that serve paralytic patients who have their entire or part of their body disabled by the Paralysis attack. In most of the cases, these people are not able to convey their needs as they are neither able to talk properly nor do they convey through sign language due to loss in the motor control by their brain. Many innovations are developed to improve the quality of life. So, the aim of our system is to develop a system or a device which is easy to use and should also be affordable to all kind of people. It should also consist of a person’s basic health ca

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Dinsdale, Graham, Calvin Heal, Joanne Manning, et al. "P160 Pilot study to determine whether skin blood flow, oxygenation and skin colour are related in patients with systemic sclerosis." Rheumatology 62, Supplement_2 (2023). http://dx.doi.org/10.1093/rheumatology/kead104.201.

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Abstract Background/Aims Improved treatments are needed for Raynaud’s phenomenon. Clinical trials can be difficult since it is challenging to measure Raynaud’s ‘attacks’ outside the laboratory. Ambulatory monitoring would allow testing of new treatments in the patients’ home environment where they usually experience attacks, thus allowing a much more realistic assessment of efficacy. Smartphone technology advancements mean that ambulatory monitoring of, and capture of biomarkers from, patients is now possible and could facilitate clinical trials. The aim of this study was to establish whether

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M.SUJITHRA1, AND DR G. PADMAVATHI. "BIOMETRIC SYSTEM PENETRATION IN RESOURCE CONSTRAINED MOBILE DEVICE." March 7, 2013. https://doi.org/10.5121/ijbb.2013.3104.

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International Journal on Bioinformatics & Biosciences (IJBB) Vol.3, No.1, March 2013 DOI : 10.5121/ijbb.2013.3104 35 BIOMETRIC SYSTEM PENETRATION IN RESOURCE CONSTRAINED MOBILE DEVICE M.SUJITHRA1 AND DR G. PADMAVATHI 2 1Assistant Professor, Department of Computer Technology & Applications, Coimbatore Institute of Technology, Email: sujisrinithi@gmail.com 2 Professor& Head, Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India. ABSTRACT Over the past few years, the usage of mobile devices to access dat

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Dissertations / Theses on the topic "Automatic attacks finder"

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Derbez, Patrick. "Attaques par rencontre par le milieu sur l'AES." Phd thesis, Paris, Ecole normale supérieure, 2013. https://theses.hal.science/tel-00918146.

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Cette thèse est dédiée à la cryptanalyse de l'AES (Advanced Encryption Standard) qui est l'un des systèmes de chiffrement par bloc les plus répandu dans le monde. Nous y présentons une nouvelle technique pour résoudre un type particulier d'équations spécialement conçu pour attaquer l'AES. Cette technique est basée sur l'algèbre linéaire ainsi que sur la technique de la " Rencontre par le Milieu " et offre pour un système donné, plusieurs algorithmes de résolution de complexités différentes mais prédictibles. Ainsi nous avons conçu un programme pour trouver l'algorithme le plus rapide. Dans un

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Books on the topic "Automatic attacks finder"

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Neudert, Lisa-Maria N. Germany. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190931407.003.0008.

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As concerns over misinformation, political bots, and the impact of social media on public discourse manifest in Germany, this chapter explores the role of computational propaganda in and around German politics. The research sheds light on how algorithms, automation, and big data are leveraged to manipulate the German public, presenting real-time social media data and rich evidence from interviews with a wide range of German Internet experts—bot developers, policymakers, cyberwarfare specialists, victims of automated attacks, and social media moderators. In addition, the chapter examines how th

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Conference papers on the topic "Automatic attacks finder"

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Carvalho, Gabriel Cardoso de, Tertuliano Souza Neto, and Thiago do Rêgo Sousa. "Automated security proof of SQUARE, LED and CLEFIA using the MILP technique." In Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/sbseg.2023.232871.

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Provable security in cryptography is extremely relevant nowadays, since it is regarded as the basis for the proposal of new ciphers. In that sense, the designers of new ciphers have to find ways to prove that the proposed cipher is secure against the most pertinent forms of attack. Being safe against differential and linear cryptanalysis is still considered the bare minimum standard for any new cipher. In the last decade, a great deal of attention has been given to automated ways of proving the security of ciphers against both forms of attacks, the original one being generating mixed linear in

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Vogl, Jonas. "Automated Security Analysis for Industrial Control Systems based on MITRE ATT&CK and IEC 62443." In Proceedings of the 2023 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. KIT Scientific Publishing, 2024. https://doi.org/10.58895/ksp/1000168973-6.

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In this article a lightweight approach to automatically analyze the architecture of Industrial Control Systems (ICS) for cybersecurity issues is presented. The goal is to support network architects and administrators with identifying security weaknesses in their network architecture and help them find efficient solutions. For this a mapping between the attacker focused MITRE ATT&CK Framework [9] and the defense oriented IEC 62443 standard [5] is created. This mapping is then used to estimate for which attack techniques defenses are already in place or have to be improved.

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Carvalho, G. C. de, and L. A. B. Kowada. "Revisiting the Biclique Attack on the AES." In Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/sbseg.2023.232855.

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The AES Cipher is one of the most widely used block ciphers throughout the world for the better part of two decades now. Despite its relevancy, there has been no great progress in the attempts at finding exploitable flaws or cryptanalysis techniques that are able to find the secret key in less time than simple exhaustive search for its full version. The only exception is biclique cryptanalysis which was used more than once to recover the secret key in marginally less time than simple brute force. The last improvement happened 8 years ago. This paper finds the best results for all but one of th

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Willms, Nico, and Ulrike Padó. "A Transformer for SAG: What Does it Grade?" In 11th Workshop on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL 2022). Linköping University Electronic Press, 2022. http://dx.doi.org/10.3384/ecp190012.

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Automatic short-answer grading aims to predict human grades for short free-text answers to test questions, in order to support or replace human grading. Despite active research, there is to date no wide-spread use of ASAG in real-world teaching. One reason is a lack of transparency of popular methods like Transformer-based deep neural networks, which means that students and teachers cannot know how much to trust automated grading. We probe one such model using the adversarial attack paradigm to better understand their reliance on syntactic and semantic information in the student answers, and t

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Nainia, Ayoub, R´egine Vignes-Lebbe, Eric Chenin, Maya Sahraoui, Hajar Mousannif, and Jihad Zahir. "A Transformer-Based Nlp Pipeline for Enhanced Extraction of Botanical Information using Camembert on French Literature." In 5th International Conference on NLP & Information Retrieval. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.140605.

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This research investigates the untapped wealth of centuries-old French botanical literature, particularly focused on floras, which are comprehensive guides detailing plant species in specific regions. Despite their significance, this literature remains largely unexplored in the context of AI integration. Our objective is to bridge this gap by constructing a specialized botanical French dataset sourced from the flora of New Caledonia. We propose a transformer-based Named Entity Recognition pipeline, leveraging distant supervision and CamemBERT, for the automated extraction and structuring of bo

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Botero, Ulbert J., David Koblah, Daniel E. Capecci, et al. "Automated Via Detection for PCB Reverse Engineering." In ISTFA 2020. ASM International, 2020. http://dx.doi.org/10.31399/asm.cp.istfa2020p0157.

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Abstract Reverse engineering (RE) is the only foolproof method of establishing trust and assurance in hardware. This is especially important in today's climate, where new threats are arising daily. A Printed Circuit Board (PCB) serves at the heart of virtually all electronic systems and, for that reason, a precious target amongst attackers. Therefore, it is increasingly necessary to validate and verify these hardware boards both accurately and efficiently. When discussing PCBs, the current state-of-the-art is non-destructive RE through X-ray Computed Tomography (CT); however, it remains a pred

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Shahini, Maryam, Carina Yu Wang, Marc A. Roeder, et al. "Leveraging Large Language Models for Cost Management and Supply Chain Optimization." In SPE Annual Technical Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/221022-ms.

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Abstract In this paper, we introduce a cutting-edge solution to the complex challenge of managing operational costs in unconventional asset development, particularly concerning continuous well drilling, completion, and field maintenance operations within the oil and gas sector. These complicated field operations involve hundreds of service providers and incur vast volumes of invoices every year. Tremendous values are lost due to missed opportunities to improve contracting strategy, optimize material and equipment supplies, and identify cost-prohibitive design elements during drilling, completi

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Xiao, Xingyu, Songlin Liu, Zhiyong Zuo, et al. "A Text Intelligence-Based Approach for Automatic Generation of Fault Trees in Nuclear Power Plants." In 2024 31st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/icone31-134226.

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Abstract Fault Tree Analysis (FTA) is an indispensable tool in high-stakes industries like nuclear power for conducting thorough risk assessments. However, the development of fault trees for Nuclear Power Plants (NPPs) is often marred by the necessity of interdisciplinary and intricate knowledge, posing a significant hurdle for non-experts. This necessity for specialized knowledge limits the wider adoption of FTA across various sectors. In response to these challenges, this study introduces the Nuclear Large Language Model Fault Tree Generator (NuLLM-FTG), an innovative solution aims at stream

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Fan, Xiaoting, Xu Qu, and Hongtai Yang. "Privacy Risk Assessment of Travel Trajectories in Metro AFC Data." In 2024 International Conference on Smart Transportation Interdisciplinary Studies. SAE International, 2025. https://doi.org/10.4271/2025-01-7214.

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<div class="section abstract"><div class="htmlview paragraph">The rapid expansion of metro systems in major cities worldwide has resulted in the accumulation of vast amounts of travel data through Automatic Fare Collection (AFC) systems. While this data is crucial for enhancing and optimizing transportation networks, it also raises significant concerns regarding passenger privacy due to the potential exposure of individual travel patterns. In this paper, we propose a novel privacy risk assessment model aimed at quantifying the uniqueness of travel trajectories and evaluating the as

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Salgado Reyes, Nelson. "Security in Information Systems with Artificial Intelligence: Development of AI - based threat detection systems to protect information integrity." In 13th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications. AHFE International, 2025. https://doi.org/10.54941/ahfe1005924.

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This investigation aims to evaluate the progress in artificial intelligence (AI) threat detection systems, to strengthen information-system security, which has been achieved by guaranteeing integrity, confidentiality, and availability of information. The results further highlight the use of AI to proactively detect and mitigate unseen attacks before they cause any real damage. Using a qualitative methodology as an investigatory framework, this research reflects an interpretative fine-tooth analysis of the literature to provide evaluation of how AI has been used in prevention and containment. T

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