000			01546nam a22001937a 4500
003			OSt
005			20220107122850.0
008			190618b xxu||||| |||| 00| 0 eng d
040			_cIIITMK
100			_aVidhya K V (93617036) _915873
245			_aRansomware detection using machine learning
300			_aMSC CS 2017-2019
500			_aRansomware is a kind of malware that installs covertly on a victim's computer or smartphone, executes a cryptovirology attack and demands a ransom payment to restore it. Ransomwares have been the most serious threat in 2016, and this situation continues to worsen. Because of high reward for Ransomwares, more and more Ransomware families appear, and it makes us more dicult to detect them. There are dierent signatures or behaviors among dierent families (i.e. Locky, Cerber, Cryptowall to name a few) or versions (i.e. CryptXXX2.0, CryptXXX3.0) of Ransomwares. It will be wonderful if there is a way that can detect potential Ransomware threats. This paper is based on machine learning technique to detect Ransomwares. The rst part introduces how to label the data with dierent behaviors and what features that have chosen. Afterward, present the model for detecting various Ransomware and prevent them from encrypting victim's data. Experimental evaluation demonstrates that this model can detect the latest Ransomware.
502			_bMSC CS _c2017-2019 _dINT _eMd. Meraj Uddin
650			_aRANSOMWARE _915874
650			_aMALWARE DETECTION _915875
650			_aMACHINE LEARNING _915876
942			_2ddc _cPR
999			_c6501 _d6501