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#graph neural networks Book Open access Nov 2026

Federated Transfer Learning with Attentional Graph Neural Networks for Zero-Day IoT Botnet Detection and Secure Edge Orchestration

Internet of Things (IoT) devices are increasingly appearing in a wide variety of edge environments, and these environments have become cybersecurity hot spots due to the increased vulnerability of them to sophisticated Zero-Day botnets propagation and Distributed Denial-of-Service (DDoS) attacks. However, traditional c...

Ajay Kumar, Shaktiyavesh Nandan Pratap Singh, S. Kumari et al. · 0 citations
Book Open access Oct 2026

Poster: Secrecy rate analysis of RIS-assisted UAV networks using DDQN Network

Physical layer security (PLS) is a critical research challenge in unmanned aerial vehicle (UAV)-assisted wireless networks due to the intrinsic vulnerability of a UAV's line of sight (LoS) to eavesdroppers' attacks. In this paper, a Double Deep Q-Network (DDQN) network model is proposed to optimize the UAV trajectory f...

Laxmi, Vipul Dixit, Ishan Budhiraja et al. · 0 citations

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