Abstract Cyber criminals congregate and operate in crowded online underground marketplaces. Because forensic investigators lack ecient and reliable tools, they are forced to analyze the marketplace channels manually to locate criminals { a complex, time-consuming and expensive task. This paper demonstrates how machine learning algorithms can be used to automatically determine if a communication channel is used as an underground marketplace. Experimental results demonstrate that the classi cation system, which uses features related to the cyber crime do-main, correctly classies 51.3 million messages. The automation can signi cantly reduce the manual eort and the costs involved in investi-gating online underground marketplaces
Over the last decade, a sophisticated underground economy has emerged over the Internet in which cyb...
Pervasive growth and usage of the Internet and mobile applications have expanded cyberspace. The cyb...
Since the invention of Information and Communication Technology (ICT), there has been a great shift ...
Part 1: Internet Crime InvestigationsInternational audienceCyber criminals congregate and operate in...
The Crime as a Service (CaaS) model allows cybercriminals to specialise in certain illicit fields, i...
This thesis examines the application of machine learning to policing. First, it identifies and `maps...
The Internet facilitates interactions among human beings all over the world, with greater scope and ...
Over the years, cybercriminals increasingly joined the underground economy to exchange malicious ser...
In this dissertation, we investigate the applications of data mining algorithms on online criminal i...
The book first explores the cybersecurity’s landscape and the inherent susceptibility of online comm...
We study an active underground economy that trades stolen digital credentials.We present a method wi...
Machine learning (ML) provides popular tools for data analysis. It has as of late indicated promisin...
Cybercriminology as a subject area has numerous dimensions. Some studies in the field primarily focu...
The use of more sophisticated tools and methods from cyber criminals has urged the cyber security co...
Underground forums allow criminals to interact, exchange knowledge, and trade in products and servic...
Over the last decade, a sophisticated underground economy has emerged over the Internet in which cyb...
Pervasive growth and usage of the Internet and mobile applications have expanded cyberspace. The cyb...
Since the invention of Information and Communication Technology (ICT), there has been a great shift ...
Part 1: Internet Crime InvestigationsInternational audienceCyber criminals congregate and operate in...
The Crime as a Service (CaaS) model allows cybercriminals to specialise in certain illicit fields, i...
This thesis examines the application of machine learning to policing. First, it identifies and `maps...
The Internet facilitates interactions among human beings all over the world, with greater scope and ...
Over the years, cybercriminals increasingly joined the underground economy to exchange malicious ser...
In this dissertation, we investigate the applications of data mining algorithms on online criminal i...
The book first explores the cybersecurity’s landscape and the inherent susceptibility of online comm...
We study an active underground economy that trades stolen digital credentials.We present a method wi...
Machine learning (ML) provides popular tools for data analysis. It has as of late indicated promisin...
Cybercriminology as a subject area has numerous dimensions. Some studies in the field primarily focu...
The use of more sophisticated tools and methods from cyber criminals has urged the cyber security co...
Underground forums allow criminals to interact, exchange knowledge, and trade in products and servic...
Over the last decade, a sophisticated underground economy has emerged over the Internet in which cyb...
Pervasive growth and usage of the Internet and mobile applications have expanded cyberspace. The cyb...
Since the invention of Information and Communication Technology (ICT), there has been a great shift ...