Deep Learning Approaches in Cyber Security-A Comprehensive Survey


Authors : V. Jayabharathi; Dr. S. Sukumaran

Volume/Issue : Volume 7 - 2022, Issue 9 - September

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3M1iwER

DOI : https://doi.org/10.5281/zenodo.7141277

Abstract : Recent years have seen the successful application of deep learning techniques, an enhanced model of conventional machine learning, in a variety of fields, including banking, entertainment, coordinating, health care, and cyber security. The study concentrated on a thorough examination of deep learning techniques in cyber security. Adversarial attacks have emerged as a more significant security threat to many deep learning applications than machine learning in the real world as deep learning techniques have become the core components for many security-critical applications such as identity recognition cameras, malware detection software, intrusion detection, spam detection, and selfdriving cars. Through a review of the literature and consideration of the important research topics, this paper gives a thorough study on the Deep Learning process, supervised, and unsupervised approaches. The survey also discusses important DL architectures used in cyber security applications.

Keywords : Deep learning, Cyber Security, Supervised learning, and Unsupervised learning.

Recent years have seen the successful application of deep learning techniques, an enhanced model of conventional machine learning, in a variety of fields, including banking, entertainment, coordinating, health care, and cyber security. The study concentrated on a thorough examination of deep learning techniques in cyber security. Adversarial attacks have emerged as a more significant security threat to many deep learning applications than machine learning in the real world as deep learning techniques have become the core components for many security-critical applications such as identity recognition cameras, malware detection software, intrusion detection, spam detection, and selfdriving cars. Through a review of the literature and consideration of the important research topics, this paper gives a thorough study on the Deep Learning process, supervised, and unsupervised approaches. The survey also discusses important DL architectures used in cyber security applications.

Keywords : Deep learning, Cyber Security, Supervised learning, and Unsupervised learning.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe