A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques

A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques

The rapid expansion of Internet of Things (IoT) devices has led to an increasingly complex threat landscape, challenging traditional Intrusion Detection Systems (IDS) to effectively handle the vast and diverse data generated by IoT networks. This paper presents a novel IDS that integrates Quantum-In...

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Bibliographic Details
Main Authors: G. Logeswari, J. Deepika Roselind, K. Tamilarasi, V. Nivethitha
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Enhanced recurrent neural network
adaptive neuro-fuzzy inference system
capsule networks
Internet of Things
intrusion detection system
quantum-inspired particle swarm optimization
Online Access:https://ieeexplore.ieee.org/document/10851274/
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