000			02076nam a22003258i 4500
001			CR9781316888513
003			UkCbUP
005			20200124160336.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			160624s2017||||enk o ||1 0|eng|d
020			_a9781316888513 (ebook)
020			_z9781107185777 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050		4	_aHV6773 _b.R63 2017
082	0	4	_a364.168 _223
100	1		_aRobertson, John, _eauthor.
245	1	0	_aDarkweb cyber threat intelligence mining / _cJohn Robertson, Arizona State University, [and six others].
264		1	_aCambridge : _bCambridge University Press, _c2017.
300			_a1 online resource (ix, 137 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 21 Apr 2017).
520			_aThe 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.
650		0	_aComputer crimes.
650		0	_aCyber intelligence (Computer security)
776	0	8	_iPrint version: _z9781107185777
856	4	0	_uhttps://doi.org/10.1017/9781316888513
999			_c523012 _d523010