000			04940nam a2200589 i 4500
001			on1334652771
003			EBZ
005			20251029164101.0
006			m d
007			cr cnu---unuuu
008			220520s2022 paua ob 001 0 eng
010			_a 2022020092
040			_aEBZ _beng _cEBZ
020			_a9781668464458 _qelectronic book
020			_a1668464454 _qelectronic book
020			_z9781668464441 _qhardcover
020			_z1668464446 _qhardcover
020			_z9781668464489 _qpaperback
020			_z1668464489 _qpaperback
042			_apcc
050	0	4	_aTK5105.59 _b.U77 2022
049			_aMAIN
245	0	0	_aUsing computational intelligence for the dark web and illicit behavior detection / _c[edited by] Romil Rawat... [and 4 others].
264		1	_aHershey, PA : _bIGI Global, Information Science Reference (an imprint of IGI Global), _c[2022]
300			_a1 online resource (xviii, 335 pages) : _billustrations (chiefly color).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
341	0		_atextual _2sapdv _3EBSCOhost
347			_adata file _2rda
490	1		_aAdvances in digital crime, forensics, and cyber terrorism (ADCFCT) book series
504			_aIncludes bibliographical references and index.
520			_a"The goal of this monograph is to convey a picture of the Dark Web environment, suggest a methodical, computational approach to comprehending the difficulties, and define tactics and solutions, providing researchers, security professionals, counter-terrorism specialists, and strategy developers with useful information"-- _cProvided by publisher.
505	0		_aSection 1. Traffic analysis and network management. Chapter 1. Darknet traffic analysis and network management for malicious intent detection by neural network frameworks ; Chapter 2. Information system for cyber threat detection using K-NN classification model ; Chapter 3. Structure analysis of tor hidden services using DOM-inspired graphs -- Section 2. Models for crime prediction. Chapter 4. Time-series models for crime prediction in India: an empirical comparison ; Chapter 5. Variational autoencoder for IoT botnet detection ; Chapter 6. Cyber security for IoT-enabled industry 4.0: systematic review for dark web environments -- Section 3. Anomaly detection using artificial intelligence and machine learning algorithms. Chapter 7. Artifical intelligence and machine learning algorithms in dark web crime recognition ; Chapter 8. Detection of cyber crime based on facial pattern enhancement using machine learning and image processing techniques ; Chapter 9. Anomaly detection in biometric authentication dataset using recurrent neural networks -- Section 4. Content labeling for hidden services using keyword extraction. Chapter 10. Content labelling of hidden services with keyword extraction using the graph decomposition method ; Chapter 11. Tapering malicious language for identifying fake web content ; Chapter 12. Cyber security event sentence detection from news articles based on trigger and argument -- Section 5. Assessment of dark web threat evolution. Chapter 13. Systematic approach for detection and assessment of dark web threat evolution ; Chapter 14. Enthusiastic cyber surveillance for intimidation comprehension on the dark web and the deep web ; Chapter 15. Anonymous trading on the dark online marketplace: an exploratory study.
532		0	_3EBSCOhost _a"EBSCO evaluates our products based on the Web Content Accessibility Guidelines (WCAG) and the related Section 508 and EN 301 549 regulations in the US and EU. Most EBSCO products are substantially conformant with WCAG 2.2 level AA." Source: https://connect.ebsco.com/s/article/EBSCO-VPATs?language=en_US. Last accessed April 22, 2025.
588			_aDescription based on online resource; title from digital title page (viewed on August 09, 2022).
650		0	_aAnomaly detection (Computer security) _964382
650		0	_aIntrusion detection systems (Computer security) _964383
650		0	_aComputer networks _xMonitoring. _964384
650		0	_aComputer crimes _xPrevention. _964385
650		0	_aDark Web. _959051
650		0	_aArtificial intelligence. _958441
700	1		_aRawat, Romil, _d1986- _eeditor. _964386
776	0	8	_iPrint version: _tUsing computational intelligence for the dark web and illicit behavior detection _dHershey, PA : Information Science Reference, an imprint of IGI Global, [2023] _z9781668464441 _w(DLC) 2022020091
830		0	_aAdvances in digital crime, forensics, and cyber terrorism (ADCFCT) book series. _964387
856	4	0	_3EBSCOhost _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3336441
938			_aIGI Global _bIGIG _n00301614
938			_aEBSCOhost _bEBSC _n3336441
994			_a92 _bN$T
999			_c55979 _d55979