Results 21 to 30 of about 165,717 (258)
Unknown presentation attack detection against rational attackers [PDF]
IET Biometrics, 2021 Abstract Despite the impressive progress in the field of presentation attack detection and multimedia forensics over the last decade, these systems are still vulnerable to attacks in real‐life settings. Some of the challenges for the existing solutions are the detection of unknown attacks, the ability to perform in adversarial ...
Ali Khodabakhsh 0001, Zahid Akhtar
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LDoS attack detection method based on simple statistical features
Tongxin xuebao, 2022 Traditional low-rate denial of service (LDoS) attack detection methods were complex in feature extraction, high in computational cost, single in experimental data background settings, and outdated in attack scenarios, so it was difficult to meet the ...
Xueyuan DUAN, Yu FU, Kun WANG, Bin LI
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Spoofing Attack Detection by Anomaly Detection [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 Spoofing attacks on biometric systems can seriously compromise their practical utility. In this paper we focus on face spoofing detection. The majority of papers on spoofing attack detection formulate the problem as a two or multiclass learning task, attempting to separate normal accesses from samples of different types of spoofing attacks.
Fatemifar, S. +3 more
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Sequential Detection of Replay Attacks
IEEE Transactions on Automatic Control, 2023 One of the most studied forms of attacks on the cyber-physical systems is the replay attack. The statistical similarities of the replay signal and the true observations make the replay attack difficult to detect. In this paper, we have addressed the problem of replay attack detection by adding watermarking to the control inputs and then performed ...
Arunava Naha +3 more
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Attacks Generation by Detecting Attack Surfaces
Procedia Computer Science, 2014 AbstractIn the development process of software and systems, one of the main challenges is to detect the existing attack surfaces and their exact related attacks. In this paper, we address the issue of generating attacks related to systems that are designed by using SysML activity diagrams.
Samir Ouchani, Gabriele Lenzini
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On Scalable Attack Detection in the Network [PDF]
IEEE/ACM Transactions on Networking, 2004 Current intrusion detection and prevention systems seek to detect a wide class of network intrusions (e.g., DoS attacks, worms, port scans)at network vantage points. Unfortunately, all the IDS systems we know of keep per-connection or per-flow state.
Ramana Rao Kompella +2 more
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G-IDCS: Graph-Based Intrusion Detection and Classification System for CAN Protocol
IEEE Access, 2023 The security of in-vehicle networks has become an important issue as automobiles become more connected and automated. In this paper, we propose a graph-based intrusion detection and classification system, named G-IDCS, which aims to enhance the security ...
Sung Bum Park, Hyo Jin Jo, Dong Hoon Lee
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LSTM-Based Collaborative Source-Side DDoS Attack Detection
IEEE Access, 2022 As denial of service attacks become more sophisticated, the source-side detection techniques are being studied to solve the limitations of target-side detection techniques such as delayed detection and difficulty in tracking attackers.
Sungwoong Yeom +2 more
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Detection of Multi-Stage Attacks Through Attack Pattern Segmentation
IEEE AccessAdvanced cyberattack patterns threatening network assets employ various attack vectors, multi-stage attack processes, and diverse penetration strategies.
Seonghyeon Gong +2 more
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Wormhole attack detection techniques in ad-hoc network: A systematic review
Open Computer Science, 2022 Mobile ad hoc networks (MANETs) are considered as decentralized networks, which can communicate without pre-existing infrastructure. Owning to utilization of open medium access and dynamically changing network topology, MANETs are vulnerable to different
Gupta Chitvan +2 more
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