A Machine Learning Approach to Phishing

von I S Amiri, O A Akanbi, E. Fazeldohkordi

102 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Syngress
• ISBN: 9780128029275
• Sprache: Englisch
• Erscheinungsdatum: 10.11.2014
• Größe: 228 x 151 mm
• Verlag: Elsevier Inc