An intelligent classification model for phishing email detection

Understand

Phishing attacks are one of the trending cyber attacks that apply socially engineered messages that are communicated to people from professional hackers aiming at fooling users to reveal their sensitive information, the most popular communication channel to those messages is through users emails.

• This paper presents an intelligent classification model for detecting phishing emails using knowledge discovery, data mining and text processing techniques.
• This paper introduces the concept of phishing terms weighting which evaluates the weight of phishing terms in each email.
• The pre processing phase is enhanced by applying text stemming and WordNet ontology to enrich the model with word synonyms.