ANALYZING THE EFFECTS OF ALTERED TOR TRAFFIC ON ONION SERVICE CLASSIFICATION

The project's main goal is to determine how changes made to Tor traffic affect the way Onion Service traffic is classified by examining network traffic in darknet settings like the Tor network. It notes that although privacy and anonymity are key features of Tor and Onion Services, they may also be abused, underscoring the need for more awareness and oversight. Three main objectives of the study are to detect Onion Service traffic within Tor traffic, evaluate the impact of traffic alterations, and identify key criteria that are important throughout the categorization process. To accomplish its goals, the initiative probably makes use of machine learning and data analysis tools, with an emphasis on examining network traffic patterns inside the Tor network. The project's conclusions underscore the fine line that must be drawn between protecting user privacy and guaranteeing network security, and they may have an impact on privacy, security, and network monitoring.