A technique for early detection of cyberattacks using the traffic self-similarity property and a statistical approach
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9406783/9407036/09407132.pdf?arnumber=9407132
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Traffic Divergence Theory: An Analysis Formalism for Dynamic Networks;IEEE Access;2024
2. Self-similarity based network anomaly detection for industrial control systems;2023 IEEE Conference on Communications and Network Security (CNS);2023-10-02
3. DEVELOPMENT OF A MODIFIED METHOD OF NETWORK TRAFFIC FORMING;Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska;2023-03-31
4. Attacks Against Artificial Intelligence Systems: Classification, The Threat Model and the Approach to Protection;Proceedings of the Sixth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’22);2022-10-31
5. A Proactive Protection of Smart Power Grids against Cyberattacks on Service Data Transfer Protocols by Computational Intelligence Methods;Sensors;2022-10-03
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