A Review on Application of GANs in Cybersecurity Domain

Arora, Aayush and Shantanu, . (2022) A Review on Application of GANs in Cybersecurity Domain. Taylor and Francis Ltd..

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Cybersecurity is essential to protect the tremendous increase in data stored on servers and its transmission on networks. The techniques used to detect threats and preserve data need to be updated regularly to prevent advanced attacks in the future. The information transferred over a network is converted into unintelligible data using codes and cyphers to achieve data integrity and confidentiality. At present, a firewall is used to block unknown traffic, antimalware software to detect viruses, trojan, worms and intrusion detection systems to detect attacks. The security professionals are employing Generative Adversarial Networks (GANs) to produce amazing results in fields such as Intrusion Detection, Steganography, Password Cracking, and Anomaly Generation. This paper presents a systematic literature review of GANs applications in the cybersecurity domain, including analysis of specific extended GAN frameworks and currently used stable cybersecurity datasets. © 2022 IETE.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Other
Uncontrolled Keywords: Anomaly detection; Anomaly generation; Cybersecurity; GANs; Intrusion detection system; Steganography
Subjects: Electrical Engineering
Electrical Engineering > Automation & Control Systems
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 29 Jul 2022 11:06
Last Modified: 29 Jul 2022 11:06
URI: http://raiith.iith.ac.in/id/eprint/10021
Publisher URL: http://doi.org/10.1080/02564602.2020.1854058
OA policy: https://v2.sherpa.ac.uk/id/publication/119
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