Intrusion Detection using Deep Learning Techniques
Syeda Fareeha Batool, Faisal Rehman, Hanan Sharif, Maheen Jaffer, Anza Gul, Sameen Butt · 2022
All firms use intrusion detection systems as a fundamental element of their cyber security procedures. As more and more information become accessible in digital form on the internet, the demand for robust cyber security measures to protect against data breaches and malware assaults has grown. Automated intrusion detection systems are needed to keep pace with the ever-increasing number of assaults and new malware varieties. Computer vision, natural language processing, and voice recognition are all examples of applications of Deep Learning methods that are currently being used in the realm of cyber security. An in-depth analysis of twenty-three papers using Deep Learning in intrusion detection systems is performed in this study.