000			04900nam a2200685 i 4500
001			on1314330186
003			EBZ
005			20251029164100.0
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007			cr cnu---unuuu
008			220417t20222022flua ob 001 0 eng
010			_a 2021060070
040			_aEBZ _beng _cEBZ
015			_aGBC273430 _2bnb
016	7		_a020565735 _2Uk
020			_a9781003217381 _qelectronic book
020			_a1003217389 _qelectronic book
020			_a9781000597684 _qelectronic book
020			_a1000597687 _qelectronic book
020			_a9781000597691 _qelectronic book
020			_a1000597695 _qelectronic book
020			_z9781032108537 _qhardcover
020			_z9781032265025 _qpaperback
024	8		_a10.1201/9781003217381 _2doi
037			_a9781000597691 _bIngram Content Group
042			_apcc
050	0	4	_aHV6773.15.P45 _bK43 2022
049			_aMAIN
100	1		_aKhandelwal, Shekhar, _eauthor. _964226
245	1	0	_aPhishing detection using content-based image classification / _cShekhar Khandelwal and Rik Das.
250			_aFirst edition.
264		1	_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c2022.
264		4	_c©2022
300			_a1 online resource (xii, 119 pages) : _billustrations
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
341	0		_atextual _2sapdv _3EBSCOhost
500			_a"A Chapman & Hall book."
504			_aIncludes bibliographical references and index.
520			_a"Phishing Detection using content-based image classification is an invaluable resource for any deep learning and cybersecurity professional and scholar trying to solve various cybersecurity tasks using new age technologies like Deep Learning and Computer Vision. With various rule-based phishing detection techniques at play which can be bypassed by phishers, this book provides a step-by-step approach to solve this problem using Computer Vision and Deep Learning techniques with significant accuracy. The book offers comprehensive coverage of the most essential topics, including: Programmatically reading and manipulating image data; Extracting relevant features from images; Building statistical models using image features; Using state of the art Deep Learning models for feature extraction; Build a robust phishing detection tool even with less data; Dimensionality reduction techniques; Class imbalance treatment; Feature Fusion techniques; Building performance metrics for multi-class classification task. Another unique aspect of this book is it comes with a completely reproducible code base developed by the author and shared via python notebooks for quick launch and running capabilities. They can be leveraged for further enhancing the provided models using new advancement in the field of computer vision and more advanced algorithms"-- _cProvided by publisher.
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 September 23, 2022).
505	0		_aPhishing and cybersecurity -- Image processing based phishing detection techniques -- Implementing CNN for classifying phishing websites -- Transfer learning approach in phishing detection -- Feature extraction and representation learning -- Dimensionality reduction techniques -- Feature fusion techniques -- Comparison of phishing detection approaches -- Basics of digital image processing.
650		0	_aPhishing _xPrevention. _964227
650		0	_aImage processing _xDigital techniques. _964228
650		0	_aImage data mining. _964229
650		0	_aDigital images _xClassification. _964230
650		0	_aNeural networks (Computer science) _964231
650		7	_adigital imaging. _2aat _964232
700	1		_aDas, Rik, _d1978- _eauthor. _964233
758			_ihas work: _aPHISHING DETECTION USING CONTENT BASED IMAGE CLASSIFICATION (Text) _1https://id.oclc.org/worldcat/entity/E39PCXvW8jYhKhPDfmT7cVc9Dq _4https://id.oclc.org/worldcat/ontology/hasWork
776	0	8	_iPrint version: _aKhandelwal, Shekhar. _tPhishing detection using content based image classification _bFirst edition. _dBoca Raton : Chapman & Hall/CRC Press, 2022 _z9781032108537 _w(DLC) 2021060069
856	4	0	_3EBSCOhost _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3275752
938			_aAskews and Holts Library Services _bASKH _nAH39551245
938			_aEBSCOhost _bEBSC _n3275752
994			_a92 _bN$T
999			_c55945 _d55945