Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework. [PDF]
Alohali MA +7 more
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Mathematical analysis of the dynamics of cyberattack propagation in IoT networks. [PDF]
AbuHour Y +4 more
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Integration of metaheuristic based feature selection with ensemble representation learning models for privacy aware cyberattack detection in IoT environments. [PDF]
Karthikeyan M +6 more
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An intelligent federated learning boosted cyberattack detection system for Denial-Of-Wallet attack using advanced heuristic search with multimodal approaches. [PDF]
Akhmetshin E +6 more
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Detecting cyber attacks in vehicle networks using improved LSTM based optimization methodology. [PDF]
Jayasri C +3 more
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Cyberspace has given the world unprecedented opportunities for communication, control and productivity. It has transformed and rationalized every public and private sector from government, defense, health and science to finance, industry, transport and production.
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A Data Rate Monitoring Approach for Cyberattack Detection in Digital Twin Communication. [PDF]
Rodrigues C +3 more
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AI-Driven intrusion detection and prevention systems to safeguard 6G networks from cyber threats. [PDF]
Chinnasamy P +7 more
europepmc +1 more source
Towards Reversible Cyberattacks
This paper appeared in the Proceedings of the 9th European Conference on Information Warfare and Security, July 2010, Thessaloniki, Greece. Warfare without damage has always been a dream of military planners. Traditional warfare usually leaves persistent side effects in the form of dead and injured people and damaged infrastructure.
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