Learning-Based Intrusion Detection Systems: A Comprehensive Overview

Author(s)	Ms. Madhusmita Thakuria, Mr. Wasif Shaffaq, Ms. Raksha Raj, Mr. Ankit Kumar, Mr. Himanshu .
Country	India
Abstract	This review is a synthesis of the studies on the subject Intrusion Detection Systems: Learning-Based Approaches to tackle the issues of making detection more accurate, adaptive, and robust to the changing cyber threat. The objective of the review was to taxonomize learning-based IDS in algorithm and domain, compare the effect of reinforcement and deep learning, measure the performance of models, and analyze challenges in adversarial robustness and resource constraints in IoT and cloud environments.
Keywords	Intrusion Detection Systems, Machine Learning, Deep Learning, Reinforcement Learning, Cybersecurity, Internet of Things, Cloud Computing
Field	Computer > Network / Security
Published In	Volume 8, Issue 4, July-August 2026
Published On	2026-07-04
DOI	https://doi.org/10.36948/ijfmr.2026.v08i04.80402

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