Samenvatting

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.

Specificaties

ISBN13:9780128029275
Taal:Engels
Bindwijze:Paperback

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Inhoudsopgave

<ol> <li>Introduction</li> <li>Literature Review</li> <li>Research Methodology</li> <li>Feature Extraction</li> <li>Implementation and Result</li> <li>Conclusions</li></ol>

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        A Machine-Learning Approach to Phishing Detection and Defense