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:: Volume 8, Issue 2 (2-2020) ::
3 2020, 8(2): 75-88 Back to browse issues page
An automated approach to analysis and classification of Crypto-ransomwares’ family
Seyed Ata S. jafari, Mohammadhadi Alaeiyan , Aeed Parsa
Iran University of Science and Technology
Abstract:   (714 Views)
There is no doubt that malicious programs are one of the permanent threats to computer systems. Malicious programs distract the normal process of computer systems to apply their roguish purposes. Meanwhile, there is also a type of malware known as the ransomware that limits victims to access their computer system either by encrypting the victim's files or by locking the system. Despite other malicious families, ransomware families explicitly warn victims against its existence on the computer system. Although ransomwares are serious problems with computers, they can be detected with restricted footprints on victims’ computers. In this research, we provide a ransomware monitoring system which requires special environments to extract the malware filesystem's activities. A set of features based on filesystem's activities is extracted to classify ransomware families with an accuracy 98% by applying machine learning technique.
Keywords: Malware, Ransomware, Cryptoransomware, LockyRansomware, Ransomware Classification
Full-Text [PDF 13597 kb]   (128 Downloads)    
Type of Study: Scientific research | Subject: Special
Received: 2018/12/28 | Accepted: 2020/11/15 | Published: 2020/11/23
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S. jafari S A, Alaeiyan M, Parsa A. An automated approach to analysis and classification of Crypto-ransomwares’ family. 3. 2020; 8 (2) :75-88
URL: http://monadi.isc.org.ir/article-1-132-en.html

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Volume 8, Issue 2 (2-2020) Back to browse issues page
دوفصل نامه علمی ترویجی منادی امنیت فضای تولید و تبادل اطلاعات( افتا) Biannual Journal Monadi for Cyberspace Security (AFTA)
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