Title of the Paper: Detection and Analysis of Malware Using Machine Learning
Authors: Vishnu Teja Doddi, M. Kaliyar, V. Murali Mohan, Rekha Gangula
Abstract:
Mainly the challenging thing at present over the internet is malware attacks. The impact of
malicious software is becoming the problem day by day. Malicious type viruses is designed to
interruption or for damaging computers, networks as well as other components which are linked to it.
Different types of virus shares various behavioural format identifying their originality and cause.
Behavioural mechanisms were caused either by fixed manner or it change with time to time which is
termed with the help of ML Mechanisms. This concept shows a general brief regarding the procedures
as well as mechanisms for identifying as well as estimating the virus.
Keywords: Malware, Virus, Static Analysis, Dynamic Analysis, Worms, Spyware
IJECRT- International Journal of Engineering Computational Research and Technology , ISSN (Online): 2456-9852, Volume 6, Issue 2, December 2021, Art. #1, pp. 1-5