Shiva Raj Pokhrel
2 indexed papers
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226
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ML×2Crypto×2AI×1
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2026
In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis
This paper proposes and evaluates a federated deep learning framework using autoencoders for lightweight, privacy-preserving, and scalable real-time anomaly detection in resource-constrained IoT networks.
Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection
The paper proposes Q-AGNN, a Quantum-Enhanced Attentive Graph Neural Network, to improve intrusion detection by modeling network flows as graphs and leveraging quantum circuits to capture complex relational dependencies.
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Papers
cs.LGcs.CRRecentMar 23, 2026
In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis
This paper proposes and evaluates a federated deep learning framework using autoencoders for lightweight, privacy-preserving, and scalable real-time anomaly detection in resource-constrained IoT netwo…
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cs.CRcs.AIcs.LGRecentMar 23, 2026