Artifical Intelligence and Machine Learning Algorithms in Dark Web Crime Recognition
Neha Nitin Gawali, Shailesh Pramod Bendale · Advances in digital crime, forensics, and cyber terrorism book series · 2022
Even with the dark web (DW) being accessible only through special software, global law enforcement agencies are considering it a major problem. The fact that activities happening on DW are completely untraceable has become the main point of attraction for the perpetrators. Also, in certain years, there has been improvement and advancement in the artificial intelligence (AI) as well as machine learning (ML) fields. Therefore, digital security based on AI is of immense benefit for the security industry. Thus, in response to the increasing use of AI and ML technologies, actions were taken against DW crimes, and applications for crime recognition were developed. This chapter is an attempt to discuss and showcase all the different aspects of applications of AI and ML in DW crime recognition. The author sheds light on the enormous benefits of these applications to the security industry as well as the investigators. Considering AI and ML work as double-edged swords in the cyber world, the author also mentions the importance for investigators to understand and practice them carefully.