PAPER ID: IJIM/Vol. 9 (III) July 2024/ 48-57/8

AUTHOR: Seema Jain ^[i] Dr. Shiv Kant^[ii] Dr. Aman Ahmad Ansari^[iii]

TITLE: TECHNOLOGICAL AND STATUS REVIEW OF DEEP LEARNING ALGORITHMS AND THEIR APPLICATIONS IN CYBER SECURITY

ABSTRACT: There have been an increasing number of cyber-attacks due to the exponential growth of the Internet as a result of advances in technology. Every industry and field of study is beginning to integrate Deep Learning applications. The field of cyber-security looks to benefit significantly from Deep Learning (DL), one of the most effective machine learning techniques available today. This study provides a description of deep learning (DL) techniques for cyber-security applications, discusses the security concerns with DL networks, and shows how these models could be used maliciously. A concise overview of the architecture covered in this work is given at the outset. Various models, such as CNNs, RNNs, and GANs, have security-related indications

KEYWORDS: Deep Learning, Cyber security, attacks, Application, DL techniques

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