Phishing detection with machine learning

A system and method for identifying a phishing website is disclosed. Content associated with a website that a user is attempting to access is retrieved and translated into a format that a classifier can process. The classifier is trained to identify phishing attempts for a particular website or fami...

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Bibliographic Details
Main Authors Lee, Chien Pang, Lee, John K. C, Kuo, Jeff H. C
Format Patent
LanguageEnglish
Published 04.06.2019
Subjects
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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Summary:A system and method for identifying a phishing website is disclosed. Content associated with a website that a user is attempting to access is retrieved and translated into a format that a classifier can process. The classifier is trained to identify phishing attempts for a particular website or family of websites. The classifier processes the website to determine if the website is a phishing website. A scorer can determine the likelihood that the classifier classified the website correctly. If the website is determined to be a phishing website a protection component can deny access to the website. Otherwise the user can be permitted to access the website.
Bibliography:Application Number: US201615334766