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.
