000 | a | ||
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999 |
_c30356 _d30356 |
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008 | 211220b xxu||||| |||| 00| 0 eng d | ||
020 | _a9781108491594 | ||
082 |
_a363.325 _bMAR |
||
100 | _aMarin, Ericsson | ||
245 | _aExploring malicious hacker communities : toward proactive cyber defence | ||
260 |
_bCambridge University Press, _c2021 _aCambridge : |
||
300 |
_axii, 211 p. ; _bill., _c24 cm |
||
365 |
_b47.99 _cGBP _d104.60 |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _aMalicious 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. | ||
650 | _aCyber intelligence | ||
650 | _aComputer security | ||
650 | _aHackers | ||
650 | _aSocial networks | ||
650 | _aSocial sciences | ||
650 | _aNetwork analysis | ||
650 | _aData mining | ||
650 | _aHacking, Prevention | ||
650 | _aCyberterrorism | ||
700 | _aAlmukaynizi, Mohammed | ||
700 | _aSarkar, Soumajyoti | ||
700 | _aNunes, Eric | ||
700 | _aShakarian, Jana | ||
700 | _aShakarian, Paulo | ||
942 |
_2ddc _cBK |