Abstract

The important and rapidly emerging new field known as ‘cyber threat intelligence’ explores the paradigm that defenders of computer networks gain a better understanding of their adversaries by understanding what assets they have available for an attack. In this book, a team of experts examines a new type of cyber threat intelligence from the heart of the malicious hacking underworld - the dark web. These highly secure sites have allowed anonymous communities of malicious hackers to exchange ideas and techniques, and to buy/sell malware and exploits. Aimed at both cybersecurity practitioners and researchers, this book represents a first step toward a better understanding of malicious hacking communities on the dark web and what to do about them. The authors examine real-world darkweb data through a combination of human and automated techniques to gain insight into these communities, describing both methodology and results.

Original languageEnglish (US)
PublisherCambridge University Press
Number of pages137
ISBN (Electronic)9781316888513
ISBN (Print)9781107185777
DOIs
StatePublished - Jan 1 2017

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ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Robertson, J., Diab, A., Marin, E., Nunes, E., Paliath, V., Shakarian, J., & Shakarian, P. (2017). Darkweb cyber threat intelligence mining. Cambridge University Press. https://doi.org/10.1017/9781316888513