Darkweb cyber threat intelligence mining /
Saved in:
| Author / Creator: | Robertson, John, author. |
|---|---|
| Imprint: | Cambridge, United Kingdom ; New York, NY, USA : Cambridge University Press, 2017. |
| Description: | ix, 137 pages : illustrations ; 24 cm |
| Language: | English |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11036544 |
| Summary: | 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. |
|---|---|
| Physical Description: | ix, 137 pages : illustrations ; 24 cm |
| Bibliography: | Includes bibliographical references (pages 127-134) and index. |
| ISBN: | 1107185777 9781107185777 |
