Generative Adversarial Networks for Anomaly Detection: A Systematic Literature Review-Reference-Cited by-同舟云学术

Generative Adversarial Networks for Anomaly Detection: A Systematic Literature Review

Published:2023-03-17 Issue: Volume: Page:
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Container-title:2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
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Author:

Noor Shah¹,Bazai Sibghat Ullah²^ORCID,Ghafoor Muhammad Imran³^ORCID,Marjan Shah⁴^ORCID,Akram Saira²,Ali Fatima²

Affiliation:

1. Balochistan University of Information Technology Engineering and Management Sciences (BUITEMS),Dept. Computer Science,Quetta,Pakistan

2. Balochistan University of Information Technology Engineering, and Management Sciences (BUITEMS),Dept. of Computer Engineering,Quetta,Pakistan

3. Pakistan Television Corporation,Dept. of Electrical Engineering Superior University,Lahore,Pakistan

4. Balochistan University of Information Technology Engineering, and Management Sciences (BUITEMS),Dept. of Software Engineering,Quetta,Pakistan

Publisher

IEEE

Link

Reference52 articles.

1. Anomaly detection in embedded safety critical software;langer;Proc Int Workshop Principles Diagnosis (DX),0

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1. Real- Time Anomaly Detection with Generative Adversarial Networks for Network Security Management;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29