Phishing Detection in IMs using Domain Ontology and CBA - An innovative Rule Generation Approach

by   Mohammad S. Qaseem, et al.

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.



There are no comments yet.


page 17


Evaluating a bot detection model on git commit messages

Detecting the presence of bots in distributed software development activ...

DeepQuarantine for Suspicious Mail

In this paper, we introduce DeepQuarantine (DQ), a cloud technology to d...

Empirical Models for the Realistic Generation of Cooperative Awareness Messages in Vehicular Networks

Most V2X (Vehicle-to-Everything) applications rely on broadcasting aware...

Learning Weighted Association Rules in Human Phenotype Ontology

The Human Phenotype Ontology (HPO) is a structured repository of concept...

Structure-based Sybil Detection in Social Networks via Local Rule-based Propagation

Sybil detection in social networks is a basic security research problem....
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.