25 July 2023
2:00 pm
San Francesco Complex - Classroom 1
The Internet, in recent times, dominates everyone's daily and professional lives, and it can be divided into three parts: surface web, Deep web, and Dark web. The Dark web is the well-known hidden, fishy, and dangerous side of the Internet where criminal trades take place daily: it hosts every type of illegal material, from weapons trafficking to the exchange of every type of drug up until pedo-pornography material.
To access such a hidden area of the Internet, users can employ The Onion Routing engine (TOR), a specialized browser that creates a privacy-preserving network where websites are not indexed and where users can keep their identities anonymous. Within this concealed landscape, we developed SENSEI (Scraper for Enhanced Analysis to Evaluate Illicit Trends) to mitigate the cybercriminal phenomena and extract useful information from the Dark web.
SENSEI stands as an investigative platform, empowering Law Enforcement Agencies (LEAs) to analyze big data coming from the Dark web. The framework provides a collection of tools for big data analysis to extract valuable insights for cybercrime investigations. The framework's features include but are not limited to trend analysis of specific temporal snapshots, network analysis of vendors, and comparison of trends between different countries to evaluate the movement of illicit goods across the world.
Join us on this intrepid journey as we dive headfirst into the abyss, armed with SENSEI as our guiding light. Together, we shall confront the cybercriminal menace, shining a beacon of justice upon the internet's darkest corners and safeguarding our digital realm from its insidious grasp.
Join at: imt.lu/aula1
relatore:
Giuseppe Cascavilla, Jheronimus Academy of Data Science
Units:
SYSMA