An intelligent intrusion detection system for cyber-physical systems using GAN-LSTM networks

An intelligent intrusion detection system for cyber-physical systems using GAN-LSTM networks

Cyber-Physical Systems (CPS) face increasing cybersecurity threats, demanding advanced intrusion detection methods. This research proposes a novel GAN-LSTM hybrid model to enhance anomaly detection in CPS by addressing key limitations of traditional approaches, including class imbalance and temporal...

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Bibliographic Details
Main Authors: Md Shakil Siddique, Md. Ashikur Rahman Khan, Ishtiaq Ahammad, Nishu Nath, Joysri Rani Das, Fardowsi Rahman
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Franklin Open
Subjects:
Intrusion Detection System (IDS)
Generative Adversarial Networks (GANs)
Long short-term memory (LSTM)
Anomaly detection
Cybersecurity
Cyber-Physical Systems (CPSs)
Online Access:http://www.sciencedirect.com/science/article/pii/S2773186325000714
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