Cyber Security and Digital Forensics

12Utilizing Machine Learning and Deep Learning in Cybesecurity: An Innovative Approach

Dushyant Kaushik¹, Muskan Garg¹, Annu¹, Ankur Gupta¹ and Sabyasachi Pramanik²*

¹Vaish College of Engineering, Rohtak, Haryana, India

²Haldia Institute of Technology, Haldia, West Bengal, India

*Corresponding author: [e-mail]

Abstract

Machine learning (ML) and deep learning (DL) have both produced overwhelming interest and drawn unparalleled community interest recently. With a growing convergence of online activities and digital life, the way people have learned and function is evolving, but this also leads them towards significant security concerns. Protecting sensitive information, documents, networks and machine-connected devices from unwanted cyber threats is a difficult task. Robust cybersecurity protection is necessary for this reason. For a problem solution, current innovations like machine learning and deep learning is incorporated to cyber threats. This paper also highlights the problems and benefits with using ML / DL and presents recommendations for research directions for machine learning and deep learning in cybersecurity.

Keywords: Cyber protection, deep learning, text mining, intrusion detection, machine learning

12.1 Introduction

Currently, Internet-connected systems, such as hardware, software and data, can still be secured by cybersecurity from cyber threats. Cybersecurity [1] is a combination of products and systems intended to fight against attacks and illegal ...