Security-X

Forum Security-X => News => Discussion démarrée par: igor51 le mars 26, 2018, 15:00:14

Titre: [Trend]Cluster of Coins: How Machine Learning Detects Cryptocurrency-mining Malware
Posté par: igor51 le mars 26, 2018, 15:00:14
Cluster of Coins: How Machine Learning Detects Cryptocurrency-mining Malware

As new trends and developments in the malicious mining of cryptocurrency emerge, a smart and sustainable way of detecting these types of threats is swiftly becoming a cybersecurity necessity. By using Trend Micro Locality Sensitive Hashing (TLSH), a machine learning hash that is capable of identifying similar files, we were able to group together similar cryptocurrency-mining samples gathered from the wild. By grouping together samples based on their behavior and file types, detection of similar or modified malware becomes possible.


The post Cluster of Coins: How Machine Learning Detects Cryptocurrency-mining Malware appeared first on .


Source: Cluster of Coins: How Machine Learning Detects Cryptocurrency-mining Malware (http://feeds.trendmicro.com/~r/Anti-MalwareBlog/~3/czSG6cI2IQI/)