Exploring Malicious Hacker Communities - Toward Proactive Cyber-Defense (Hardcover)

Malicious hackers utilize the World Wide Web to share knowledge. Analyzing the online communication of these threat actors can help reduce the risk of attacks. This book shifts attention from the defender environment to the attacker environment, offering a new security paradigm of 'proactive cyber threat intelligence' that allows defenders of computer networks to gain a better understanding of their adversaries by analyzing assets, capabilities, and interest of malicious hackers. The authors propose models, techniques, and frameworks based on threat intelligence mined from the heart of the underground cyber world: the malicious hacker communities. They provide insights into the hackers themselves and the groups they form dynamically in the act of exchanging ideas and techniques, buying or selling malware, and exploits. The book covers both methodology - a hybridization of machine learning, artificial intelligence, and social network analysis methods - and the resulting conclusions, detailing how a deep understanding of malicious hacker communities can be the key to designing better attack prediction systems.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	April 2021
Authors:	Ericsson Marin • Mohammed Almukaynizi • Soumajyoti Sarkar • Eric Nunes • Jana Shakarian • Paulo Shakarian
Foreword by:	Edward G. Amoroso
Dimensions:	235 x 156 x 17mm (L x W x T)
Format:	Hardcover
Pages:	200
ISBN-13:	978-1-108-49159-4
Categories:	Books > Social sciences > Psychology > Social, group or collective psychology Books > Computing & IT > Computer communications & networking > Network security Books > Computing & IT > Social & legal aspects of computing > Impact of computing & IT on society Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Social sciences > Sociology, social studies > Social institutions > General Books > Social sciences > Sociology, social studies > Crime & criminology > General Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	1-108-49159-6
Barcode:	9781108491594

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