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Classification and Analysis of Malicious Code Detection Techniques Based on the APT Attack
Applied Sciences, 2023 According to the Fire-eye’s M-Trends Annual Threat Report 2022, there are many advanced persistent threat (APT) attacks that are currently in use, and such continuous and specialized APT attacks cause serious damages attacks.
Kyungroul Lee, Jaehyuk Lee, Kangbin Yim
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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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, 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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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were complex in feature extraction, high in computational cost, single in experimental data background settings, and outdated in attack scenarios, so it was difficult to meet the ...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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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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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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Data mining based cyber-attack detection [PDF]
, 2017 Detecting cyber-attacks undoubtedly has become a big data problem. This paper presents a tutorial on data mining based cyber-attack detection. First, a data driven defence framework is presented in terms of cyber security situational awareness. Then, the
Tianfield, Huaglory
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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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Advanced attack tree based intrusion detection [PDF]
, 2012 Computer network systems are constantly under attack or have to deal with attack attempts. The first step in any network’s ability to fight against intrusive attacks is to be able to detect intrusions when they are occurring. Intrusion Detection Systems (
Jie Wang (16762)
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