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Author

Usha Banavikal Ajay

2 papers indexed here

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Open access Oct 2026

A reinforcement learning-based intrusion detection system for internet of things with zero-day resilience

The conventional intrusion detection systems (IDS) are often found to be ineffective when faced with zero-day attacks that are novel compared to previously learned behavior patterns. This paper presents the development of a robust and adaptive IDS for the internet of things (IoT) using a deep Q-network (DQN) agent. A c...

Sowmya Somanath, Usha Banavikal Ajay, Sangeetha Kodlipet Nanjundaswamy · 0 citations
Open access Sep 2026

Traffic-Aware Imbalance Learning Network for Lightweight IoT Intrusion Detection

A Traffic-Aware Imbalance Learning Network (TAIL-Net) for lightweight and imbalance-aware IoT intrusion detection that introduces a traffic-aware semantic feature mapping mechanism that reorganizes network traffic attributes according to their semantic relationships to improve feature representation learning.

Sowmya Somanath, Usha Banavikal Ajay · 0 citations

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