02787cam a2200481Ia 4500 ocn898326414 OCoLC 20190328114809.0 m o d cr |n||||||||| 141219t20142015ne o 000 0 eng d IDEBK eng pn IDEBK N$T EBLCP N$T OPELS OCLCF DEBSZ DEBBG OCLCQ MERUC OCLCQ U3W D6H OCLCQ CUY ZCU ICG DKC 1322480850 (electronic bk.) 9781322480855 (electronic bk.) 9780128029466 (electronic bk.) 0128029463 (electronic bk.) 9780128029275 (OCoLC)898326414 HV6773.15.P45 SOC 004000 bisacsh 364.168 23 Akanbi, Oluwatobi Ayodeji, author. A machine-learning approach to phishing detection and defense / [electronic resource] Oluwatobi Ayodeji Akanbi, Iraj Sadegh Amiri, Elahe Fazeldehkordi. Amsterdam : Elsevier, 2014 �2015 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Phishing is one of the most widely-perpetrated forms of cyber attack, used to gather sensitive information such as credit card numbers, bank account numbers, and user logins and passwords, as well as other information entered via a web site. The authors of A Machine-Learning Approach to Phishing Detetion and Defense have conducted research to demonstrate how a machine learning algorithm can be used as an effective and efficient tool in detecting phishing websites and designating them as information security threats. This methodology can prove useful to a wide variety of businesses and organizations who are seeking solutions to this long-standing threat. A Machine-Learning Approach to Phishing Detetion and Defense also provides information security researchers with a starting point for leveraging the machine algorithm approach as a solution to other information security threats. Includes bibliographical references. Phishing. Computer networks Security measures. SOCIAL SCIENCE Criminology. bisacsh Computer networks Security measures. fast (OCoLC)fst00872341 Phishing. fast (OCoLC)fst01737436 Electronic books. Electronic books. lcgft Amiri, Iraj Sadegh, 1977- author. Fazeldehkordi, Elahe, author. Erscheint auch als: Druck-Ausgabe Amiri, I.S.A Machine-Learning Approach to Phishing Detection and Defense ScienceDirect http://www.sciencedirect.com/science/book/9780128029275 247027 247027