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02197aam a2200337Ii 4500 001 4236CAEC475911E7B35354A3DAD10320 003 SILO 005 20170602010157 008 161202s2017 enka b 001 0 eng d 020 $a 1107185777 020 $a 9781107185777 035 $a (OCoLC)964928813 040 $a YDX $b eng $c YDX $d THM $d SILO 050 4 $a QA76.9 A25 R634 2017 050 4 $a PN4700-5650 100 1 $a Robertson, John, $e author. 245 10 $a Darkweb cyber threat intelligence mining / $c John Robertson, Arizona State University, [and six others] 264 1 $a Cambridge, United Kingdom : $b Cambridge University Press, $c 2017. 300 $a ix, 137 pages : $b illustrations ; $c 24 cm 504 $a Includes bibliographical references (pages 127-134) and index. 505 0 $a Moving to proactive cyber threat intelligence -- Understanding darkweb malicious hacker forums -- Automatic mining of cyber intelligence from the darkweb -- Analyzing products and vendors in malicious hacking markets -- Using game theory for threat intelligence -- Application : protecting industrial control systems. 520 8 $a "In this book, a team of experts examines a new type of cyber threat intelligence from the heart of the malicious hacking underworld - the darkweb. These highly secure sites have allowed anonymous communities of malicious hackers to exchange ideas, techniques and 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 darkweb 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."--Cover, page 4 650 0 $a World Wide Web $x Security measures. 650 0 $a Cyber intelligence (Computer security) 650 0 $a Computer crimes $x Investigation. 650 0 $a Data mining. 941 $a 2 952 $l OVUX522 $d 20231017030429.0 952 $l USUX851 $d 20170802024907.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=4236CAEC475911E7B35354A3DAD10320 994 $a C0 $b IWAInitiate Another SILO Locator Search