Deep Learning Approaches in Computer Security: A Comprehensive Study

Journal: GRENZE International Journal of Engineering and Technology
Authors: Tejaswini.A.Puranik, Vikrant Mankar
Volume: 10 Issue: 2
Grenze ID: 01.GIJET.10.2.452 Pages: 5529-5533

Abstract

Despite the fact that utilizing AI procedures to tackle PC security challenges is definitely not a novel thought, the quickly arising Profound Learning innovation has as of late set off a significant measure of interests in the PC security local area. This paper looks to give a committed survey of the extremely late exploration deals with utilizing Profound Learning strategies to tackle PC security challenges. Specifically, the survey covers eight PC security issues being addressed by uses of Profound Learning: security-arranged program investigation, guarding return-situated programming (ROP) assaults, accomplishing control-stream honesty (CFI), safeguarding network assaults, malware order, framework occasion based peculiarity identification, memory criminology, and fluffing for programming security.

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