000 01998nam a2200469 i 4500
001 EBC1899194
003 MiAaPQ
006 m o d |
007 cr cnu||||||||
008 150109t20152015maua ob 000 0 eng d
020 _z9780128029275
020 _a9780128029466 (e-book)
035 _a(MiAaPQ)EBC1899194
035 _a(Au-PeEL)EBL1899194
035 _a(CaPaEBR)ebr10999955
035 _a(CaONFJC)MIL679367
035 _a(OCoLC)898326414
040 _aMiAaPQ
_beng
_erda
_epn
_cMiAaPQ
_dMiAaPQ
050 4 _aHV6773
_b.O433 2015
082 0 _a364.1633
_223
100 1 _aOladipo-Akanbi, Uthman,
_eauthor.
245 1 2 _aA machine-learning approach to phishing detection and defense /
_cOluwatobi Ayodeji Akanbi, Iraj Sadegh Amiri, Elahe Fazeldehkordi.
264 1 _aWaltham, Massachusetts :
_bSyngress,
_c2015.
264 4 _c©2015
300 _a1 online resource (101 pages) :
_billustrations, tables
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references.
588 _aDescription based on online resource; title from PDF title page (ebrary, viewed January 09, 2015).
590 _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 0 _aPhishing.
650 0 _aComputer networks
_xSecurity measures.
655 4 _aElectronic books.
700 1 _aAmiri, Iraj Sadegh,
_eauthor.
700 1 _aFazeldehkordi, Elahe,
_eauthor.
776 0 8 _iPrint version:
_aOladipo-Akanbi, Uthman.
_tMachine-learning approach to phishing detection and defense.
_dWaltham, Massachusetts : Syngress, c2015
_hxiv, 84 pages
_z9780128029275
797 2 _aProQuest (Firm)
856 4 0 _uhttps://ebookcentral.proquest.com/lib/bcsl-ebooks/detail.action?docID=1899194
_zClick to View
999 _c760007
_d760007