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K. Tamilarasi

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#artificial intelligence Open access Oct 2026

A deep generative adversarial framework with rat-optimized feature selection for efficient intrusion detection in large-scale cloud network traffic environments

Cloud computing is a fundamental paradigm in modern computing; however, its distributed and multi-tenant nature increases exposure to cyber threats, making effective intrusion detection essential. Despite recent advances in artificial intelligence–based intrusion detection systems (IDS), many existing approaches remain...

S. Priya, K. Tamilarasi, Vivek Sharma et al. · 0 citations
Open access Jul 2026

A quantum enhanced neuro symbolic intrusion detection system for software defined networking.

NeuroTwin QIDS is proposed, a novel quantum-enabled neuro-IDS for SDN that uses a novel Neuro-Symbolic Feature Pruning (NSFP) approach involving Graph Attention Networks (GAT) and policy-aware symbolic pruning to guarantee the statistical relevancy and defensibility of features used to represent anomalies.

D. Lynda, G. Logeswari, K. Tamilarasi et al. · 0 citations

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