Anomaly-based Intrusion Detection using GAN for Industrial Control Systems

Author:

KK Sabari1,Shrivastava Saurabh1,V Sangeetha.1

Affiliation:

1. TIFAC-CORE in Cyber Security, Amrita School of Engineering Coimbatore,INDIA

Publisher

IEEE

Reference19 articles.

1. Survey of current network intrusion detection techniques;kumar;Washington Univ in St Louis 1–18,2007

2. Deep learning in neural networks: An overview

3. Unsupervised representation learning with deep convolutional generative adversarial networks;radford;ArXiv Preprint,2015

4. Adversarial Examples: Attacks and Defenses for Deep Learning

5. A Deep Learning Approach to Network Intrusion Detection

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3. Text2FashionGAN: Augmenting Personalized Style Recommendations with cGANs and Word2Vec;2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2023-11-22

4. A Review of Imbalanced Datasets and Resampling Techniques in Network Intrusion Detection System;2023 8th International Conference on Information Technology and Digital Applications (ICITDA);2023-11-17

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