  User ignorance towards the use of communication services like Instant
Messengers, emails, websites, social networks etc. is becoming the biggest
advantage for phishers. It is required to create technical awareness in users
by educating them to create a phishing detection application which would
generate phishing alerts for the user so that phishing messages are not
ignored. The lack of basic security features to detect and prevent phishing has
had a profound effect on the IM clients, as they lose their faith in e-banking
and e-commerce transactions, which will have a disastrous impact on the
corporate and banking sectors and businesses which rely heavily on the
internet. Very little research contributions were available in for phishing
detection in Instant messengers. A context based, dynamic and intelligent
phishing detection methodology in IMs is proposed, to analyze and detect
phishing in Instant Messages with relevance to domain ontology (OBIE) and
utilizes the Classification based on Association (CBA) for generating phishing
rules and alerting the victims. A PDS Monitoring system algorithm is used to
identify the phishing activity during exchange of messages in IMs, with high
ratio of precision and recall. The results have shown improvement by the
increased percentage of precision and recall when compared to the existing
methods.
