Although the darknet is often touted as the place to be for criminals who want to keep their identity private, there are some caveats. New research goes to show hackers tend to resort to specific patterns in communication on the deep web. Looking closer at these models may lead to detecting illicit behavior at an early stage, and potentially even identifying individual users.
Darknet Data Analysis Is Quite Powerful
The evidence for this study will be presented at the upcoming Black Hat Europe 2016 conference, which takes place come November 2016.Data analysts claim they have come up with a way to identify illicit behavior on the darknet by looking at the way individuals communicate with one another.
According to this research, security experts can discover communication patterns by analyzing darknet forums. Moreover, the behavior of individual hackers and criminals can tell a lot about these people as well. New technologies such as natural language processing, social network analysis, and temporal pattern analysis can help identify malicious intentions at an early stage.
By conducting data analysis themselves, enterprises can look closer at individual messages and posts on the darknet at their own pace. This would actually remove the need to rely