-
DISPONIBILITÀ IMMEDIATA
{{/disponibilitaBox}}
-
{{speseGratisLibroBox}}
{{/noEbook}}
{{^noEbook}}
-
Libro
-
- Genere: Libro
- Lingua: Inglese
- Editore: Cambridge University Press
- Pubblicazione: 04/2017
Darkweb Cyber Threat Intelligence Mining
robertson john; diab ahmad; marin ericsson; nunes eric; paliath vivin; shakarian jana; shakarian paulo
80,98 €
76,93 €
{{{disponibilita}}}
NOTE EDITORE
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.SOMMARIO
1. Introduction; 2. Moving to proactive cyber threat intelligence; 3. Understanding darkweb malicious hacker forums; 4. Automatic mining of cyber intelligence from the dark web; 5. Analyzing products and vendors in malicious hacking markets; 6. Using game theory for threat intelligence; 7. Application – protecting industrial control systems; 8. Conclusion – the future of darkweb cyber threat intelligence.ALTRE INFORMAZIONI
- Condizione: Nuovo
- ISBN: 9781107185777
- Dimensioni: 235 x 15 x 156 mm Ø 380 gr
- Formato: Copertina rigida
- Pagine Arabe: 146