Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2017
|
| Links: | https://doi.org/10.1017/9781316888513 |
| Zusammenfassung: | 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. |
| Umfang: | 1 Online-Ressource (ix, 137 Seiten) |
| ISBN: | 9781316888513 |
Internformat
MARC
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| 520 | |a 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. | ||
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Datensatz im Suchindex
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| indexdate | 2025-05-15T09:21:36Z |
| institution | BVB |
| isbn | 9781316888513 |
| language | English |
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| spelling | Robertson, John Darkweb cyber threat intelligence mining John Robertson, Arizona State University, [and six others] Cambridge Cambridge University Press 2017 1 Online-Ressource (ix, 137 Seiten) txt c cr 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. Erscheint auch als Druck-Ausgabe 9781107185777 |
| spellingShingle | Robertson, John Darkweb cyber threat intelligence mining |
| title | Darkweb cyber threat intelligence mining |
| title_auth | Darkweb cyber threat intelligence mining |
| title_exact_search | Darkweb cyber threat intelligence mining |
| title_full | Darkweb cyber threat intelligence mining John Robertson, Arizona State University, [and six others] |
| title_fullStr | Darkweb cyber threat intelligence mining John Robertson, Arizona State University, [and six others] |
| title_full_unstemmed | Darkweb cyber threat intelligence mining John Robertson, Arizona State University, [and six others] |
| title_short | Darkweb cyber threat intelligence mining |
| title_sort | darkweb cyber threat intelligence mining |
| work_keys_str_mv | AT robertsonjohn darkwebcyberthreatintelligencemining |