A Akanbi, Oluwatobi Ayodeji creator author. Amiri, Iraj Sadegh 1977- author. Fazeldehkordi, Elahe author. text Electronic books. Electronic books. ne Amsterdam Elsevier 2014 2015 monographic eng

electronic resource

1 online resource 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. Oluwatobi Ayodeji Akanbi, Iraj Sadegh Amiri, Elahe Fazeldehkordi. Includes bibliographical references. Phishing Computer networks Security measures SOCIAL SCIENCE Criminology Computer networks Security measures Phishing HV6773.15.P45 364.168 Druck-Ausgabe 1322480850 9781322480855 9780128029466 0128029463 http://www.sciencedirect.com/science/book/9780128029275 http://www.sciencedirect.com/science/book/9780128029275 IDEBK 141219 20190328114809.0 ocn898326414 eng