4 papers
Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel
We propose a Quantum Federated Autoencoder for Anomaly Detection, a framework that leverages quantum federated learning for efficient, secure, and distributed processing in IoT net…
Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel
With the rapid growth of interconnected devices, accurately detecting malicious activities in network traffic has become increasingly challenging. Most existing deep learning-based…
In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel +2
The rapid expansion of the Internet of Things (IoT) and its integration with backbone networks have heightened the risk of security breaches. Traditional centralized approaches to…
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel
This survey explores the integration of Federated Learning (FL) with Network Intrusion Detection Systems (NIDS), with particular emphasis on deep learning and quantum machine learn…