TOWARDS CYBER SECURITY: MACHINE LEARNING METHODS FOR MALWARE DETECTION AND CLASSIFICATION









Abstract

The objective of malware investigation is the most common way of deciding the usefulness, beginning, and likely effect of malware. so safeguards can be worked to safeguard the climate. malware investigation is the method involved with dissecting a malware test and extricating however many subtleties as could be expected under the circumstances from it. the data we get assists us with understanding the extension and nature of the usefulness of the malware. This study intends to give an efficient and definite outline of AI procedures for malware location and profound learning techniques.it gives a total depiction of the strategies and highlights in a customary AI workflow for malware discovery and classification, The personal conduct standards accumulated from either static investigation or dynamic examination can be taken advantage of to recognize and arrange obscure malware into their realized families utilizing AI methods. This review paper gives an outline of strategies for investigating and ordering malware


Modules


Algorithms


Software And Hardware