A machine learning approach to phishing detection and defense

• Verfasst von: Akanbi, Oluwatobi Ayodeji [VerfasserIn]
• Titel: A machine learning approach to phishing detection and defense
• Mitwirkende: Amiri, Iraj Sadegh [MitwirkendeR]
• Mitwirkende: Fazeldehkordi, Elahe [MitwirkendeR]
• Verf.angabe: Oluwatobi Ayodeji Akanbi, Iraj Sadegh Amiri, Elahe Fazeldehkordi.
• Verlagsort: [Erscheinungsort nicht ermittelbar]
• Verlag: Syngress
• E-Jahr: 2015
• Jahr: [2015]
• Umfang: 1 online resource (1 volume)
• Illustrationen: illustrations
• Fussnoten: Includes bibliographic references. - Description based on online resource; title from title page (Safari, viewed Janurary 21, 2014)
• ISBN: 978-0-12-802946-6
• ISBN: 0-12-802946-3
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Phishing
• Sach-SW: Computer networks ; Security measures
• Sach-SW: Electronic books
• Sach-SW: Electronic books ; local
• K10plus-PPN: 1680254979
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m3609082011
• Lokale URL Inst.: Zum Volltext

Abstract

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. Discover novel research into the uses of machine-learning principles and algorithms to detect and prevent phishing attacks Help your business or organization avoid costly damage from phishing sources Gain insight into machine-learning strategies for facing a variety of information security threats