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Home/Authors/Devashish Chaudhary

Devashish Chaudhary

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
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Publications per year

2
26

Top categories

ML×2Crypto×2AI×1

Frequent co-authors

Sutharshan Rajasegarar2×
Shiva Raj Pokhrel2×
Lei Pan1×
Ruby D1×

Research Timeline

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.

Highlighted terms show continued research focus across papers

Papers

cs.LGcs.CRRecentMar 23, 2026

In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis

Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel, Lei Pan +1 more

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…

View →
cs.CRcs.AIcs.LGRecentMar 23, 2026

Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection

Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel

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 rela…

View →