A Detailed Review on Dark Web Investigations, Forensics, and Monitoring

The Dark Web is a secret area of the internet that can only be accessed with specialized software. It has developed into a hub for illegal activity, including hacking and cybercrime as well as the sale of sensitive information and contraband. A variety of techniques are used in dark web investigations, including proactive surveillance, intelligence collection, and the use of informants and undercover officers. Modern technologies like machine learning, data mining, and web crawling are essential for navigating the enormous Dark Web and finding criminal actors and their activities. Digital forensics faces particular hurdles because of the anonymity offered by encryption and technologies like Tor, which call for creative thinking and specialized knowledge to find digital trails. Tracking bitcoin transactions, gathering digital evidence, and linking illegal activity to particular people or organizations are the main goals of forensic research on the Dark Web. It takes constant observation to get ahead of new threats on the Dark Web. This entails monitoring discussion boards, online markets, and communication channels where illicit transactions take place. To identify trends, threats, and possible breaches of interest, automated monitoring techniques must be used in conjunction with human intelligence. This paper delves extensive review on Dark Web investigation by highlighting into the crucial areas of Dark Web investigations, forensics, and monitoring. It illuminates the approaches, resources, and obstacles that law enforcement agencies, cyber security experts, and scholars encounter while battling illicit activities on the Dark Web.