期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2019
卷号：19
期号：2
页码：136-146
出版社：International Journal of Computer Science and Network Security
摘要：The popularity of ransomware has created a unique ecosystem of cybercriminals. Therefore, the objectives of this paper are to provide a thorough understanding of ransomware’s threat and discuss recent detection techniques used. Successful ransomware attack has direct financial implication, which is fuelled by several mature enablers, such as encryption technology, cyber currency and accessibility. Encryption is effective and almost unbreakable. Anonymous cyber currency can avoid traceability. Easily obtainable ransomware code enables easy entry. A combination of these provides an attractive avenue for cybercriminals, producing specialist cybercriminals. In terms of detection techniques, it was found that machine learning (ML) via regression algorithms was the most technique adopted by researchers of ransomware. However, none of the researchers have produced any model to protect against ransomware attack. This research highlights the need of a solution using ML algorithm for the detection engine.
