
UBITECH’s paper entitled “On Strengthening SMEs and MEs Threat Intelligence and Awareness by Identifying Data Breaches, Stolen Credentials and Illegal Activities on the Dark Web” has been accepted to be presented at the International Conference on Availability, Reliability and Security (ARES 2021) held as an all-digital conference from August 17th to August 20th, 2021. The UBITECH’s Privacy-preserving Distributed Machine Learning research group devises Machine Learning and specialised Information Retrieval techniques to extract insights and investigate how the Dark Web enables cybercrime, maintains marketplaces with breached enter[1]prise data collections and pawned email accounts. The research questions that Mr. Pantelis, Mr. Petrou, Dr Karagiorgou and Dr Alexandrou address concern: a) the role that the Dark Web plays for SMEs, MEs, and society in general; b) the criticality of cybercriminal activities and operations in the Dark Web exploiting threat taxonomies and scoring schemes; and c) the maturity and efficiency of technical tools and methods to curb illegal activities on the Dark Web through raising awareness via efficient text analytics, visual reporting and alerting mechanisms.
Continue reading UBITECH presents a scientific paper on illegal activities identification on the dark Web at ARES 2021










