Malware Detection using Machine Learning and Cloud Computing

Dr. P. Indirapriyadarsini
2020 International Journal for Research in Applied Science and Engineering Technology  
Malware refers to malicious software program perpetrators dispatch to infect individual computers or an entire organization's network. It exploits target system vulnerabilities, inclusive of a worm in valid software program (e.G., a browser or internet software plugin) that can be hijacked. In the past few years, the malware industry has grown very hastily that, the organization of people make investments heavily in technology to avoid conventional protection, forcing the anti-malware
more » ... i-malware groups/groups to build extra strong software's to discover and terminate those attacks. The major part of protecting a pc gadget from a malware attack is to identify whether or not a given piece of record/software program is a malware. Here, our model is mostly focused on byte files. While modeling we will go along with Random modeling first to get the worst log-loss and then go along with some other modeling like KNN, Logistic Regression, etc. And then examine the log-loss of every algorithm and then determine whether it's an excellent model. Finally, we deploy the machine learning model on the cloud (AWS) with the user-interface. I.
doi:10.22214/ijraset.2020.6015 fatcat:jj43dqjxnzdx5pjv3o4ehko674