Ransomware detection based on opcode behaviour using k-nearest neighbours algorithm

• 主要な著者: Stiawan, Deris, Daely, Somame Morianus, Heryanto, Ahmad, Nurul Afifah, Nurul Afifah, Idris, Mohd. Yazid, Budiarto, Rahmat
• フォーマット: 論文
• 言語: English
• 出版事項: Kauno Technologijos Universitetas 2021
• 主題: QA75 Electronic computers. Computer science
• オンライン･アクセス: http://eprints.utm.my/id/eprint/93981/1/MohdYazidIdris2021_RansomwareDetectionBasedonOpcode.pdf; http://eprints.utm.my/id/eprint/93981/; http://dx.doi.org/10.5755/j01.itc.50.3.25816

Ransomware is a malware that represents a serious threat to a user’s information privacy. By investigating how ransomware works, we may be able to recognise its atomic behaviour. In return, we will be able to detect the ransomware at an earlier stage with better accuracy. In this paper, we propose C...