A Comparative Assessment of Obfuscated Ransomware Detection Methods

Clicks: 162
ID: 171567
2019
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Abstract
Ransomware represents a class of malicious applications that encrypts the files of infected system and demands from victims a payment in cryptocurrency in order to receive the decryption key. The mainstream adoption of cryptocurrencies increased the number of ransomware attack. The outbreaks had risen in complexity and received mass-media attention in 2017 when two destructive campaigns crippled companies and institutions around the world. These outbreaks continue at an accelerated pace even though efforts are made to improve the detection and mitigation of ransomware. The purpose of this research is to assess the efficiency of current malware analysis methods and technologies in the detection of ransomware. The experiments presented here were performed using antivirus engines and dynamic malware analysis against live obfuscated ransomware samples.
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sechel2019ainformatic Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors SECHEL, Sergiu;
Journal informatică economică
Year 2019
DOI
DOI not found
URL
http://revistaie.ase.ro/content/90/05%20-%20sechel.pdf
Keywords
Medicine (General) Information technology Science economics as a science finance economic theory. demography computer engineering. computer hardware electronic computers. computer science bibliography. library science. information resources risk in industry. risk management international relations

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