GAN-Based Anomaly Intrusion Detection for Industrial Controller System

Author:

Riya V. Raj ,Sangeetha V.,Amritha P. P.

Publisher

Springer Nature Singapore

Reference11 articles.

1. Zenati H, Foo CS, Lecouat B, Manek G, Chandrasekhar VR (2018) Efficient GAN-based anomaly detection. In: Proceedings of international conference on learning representations workshop

2. Ribu Hassini S, Gireesh Kumar T, Kowshik Hurshan S (2022) A machine learning and deep neural network approach in industrial control systems. In: ICT analysis and applications. Springer, Singapore, pp 525–536

3. Sabari KK, Shrivastava S, Sangeetha V (2022) Anomaly-based intrusion detection using GAN for industrial control systems. In: 2022 10th international conference on reliability, infocom technologies and optimization (trends and future directions) (ICRITO), Noida, pp 1–6

4. Vigneswaran RK, Vinayakumar R, Soman KP, Poornachandran P (2018) Evaluating shallow and deep neural networks for network intrusion detection systems in cyber security. In: 2018 9th international conference on computing, communication and networking technologies (ICCCNT), Bengaluru, pp 1–6

5. Vinayakumar R, Alazab M, Soman KP, Poornachandran P, Nemrat A, Venkatraman S (2019) Deep learning approach for intelligent intrusion detection system. IEEE Access 7:41525–41550

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