Results 21 to 30 of about 3,308,846 (296)
Applied Computing and Informatics, 2019 The internet network is mostly victimized to the Distributed Denial of Service (DDOS) attack, which is one that intentionally occupies the computing resources and bandwidth in order to deny that services to potential users.
Indraneel Sreeram +1 more
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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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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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, 2020 Observational studies have suggested that accelerated surgery is associated with improved outcomes in patients with a hip fracture.
(HIP ATTACK Investigators), Landoni G.
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Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter [PDF]
, 2022 The distribution denial of service (DDoS) attack, fault data injection attack (FDIA) and random attack is reduced. The monitoring and security of smart grid systems are improved using reconfigurable Kalman filter.
Prakyath Dayananda +9 more
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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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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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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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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
doaj +1 more source
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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