Journal Article10.1016/j.ins.2023.119375
DEFIA: Evaluate Defense Effectiveness by Fusing Behavior Information of Cyberattacks
Zhen Liu,Changzheng Hu,Chun Shan +2 more
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About: This article is published in Information Sciences. The article was published on 01 Jul 2023.
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Citations
A Generic Approach for Network Defense Strategies Generation Based on Evolutionary Game Theory
Liang Liu,C. J. Tang,Lei Zhang,Shan Liao +3 more
TL;DR: A generic approach for network defense strategies generation based on evolutionary game theory generates optimal defense strategies for complex networks and sophisticated attack strategies by considering attack graphs, decision-maker's degree of irrationality, and environmental security level.
References
Attack Detection and Identification in Cyber-Physical Systems
TL;DR: In this article, a mathematical framework for cyber-physical systems, attacks, and monitors is proposed, and fundamental monitoring limitations from both system-theoretic and graph-based perspectives are characterized.
Deep Learning Approach for Intelligent Intrusion Detection System
R. Vinayakumar,Mamoun Alazab,K. P. Soman,Prabaharan Poornachandran,Ameer Al-Nemrat,Sitalakshmi Venkatraman +5 more
TL;DR: A highly scalable and hybrid DNNs framework called scale-hybrid-IDS-AlertNet is proposed which can be used in real-time to effectively monitor the network traffic and host-level events to proactively alert possible cyberattacks.
A survey of network anomaly detection techniques
TL;DR: This paper presents an in-depth analysis of four major categories of anomaly detection techniques which include classification, statistical, information theory and clustering and evaluates effectiveness of different categories of techniques.
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Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study
Mohamed Amine Ferrag,Leandros A. Maglaras,Sotiris Moschoyiannis,Helge Janicke +3 more
- 01 Feb 2020
TL;DR: A survey of deep learning approaches for cyber security intrusion detection, the datasets used, and a comparative study to evaluate the efficiency of several methods are presented.
DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids
TL;DR: The proposed deep learning-based scheme is an intrusion detection system (IDS), which employs recurrent neural networks for detecting network attacks and fraudulent transactions in the blockchain-based energy network.