Visible to the public Particle Swarm Optimization Trained Class Association Rule Mining: Application to Phishing Detection

TitleParticle Swarm Optimization Trained Class Association Rule Mining: Application to Phishing Detection
Publication TypeConference Paper
Year of Publication2016
AuthorsTayal, Kshitij, Ravi, Vadlamani
Conference NameProceedings of the International Conference on Informatics and Analytics
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4756-3
KeywordsClass Association rule mining, Human Behavior, phishing, phishing attack, Phishing Detection, pubcrawl, Text Mining Particle Swarm Optimization
Abstract

Association and classification are two important tasks in data mining. Literature abounds with works that unify these two techniques. This paper presents a new algorithm called Particle Swarm Optimization trained Classification Association Rule Mining (PSOCARM) for associative classification that generates class association rules (CARs) from transactional database by formulating a combinatorial global optimization problem, without having to specify minimal support and confidence unlike other conventional associative classifiers. We devised a new rule pruning scheme in order to reduce the number of rules and increasing the generalization aspect of the classifier. We demonstrated its effectiveness for phishing email and phishing website detection. Our experimental results indicate the superiority of our proposed algorithm with respect to accuracy and the number of rules generated as compared to the state-of-the-art algorithms.

URLhttp://doi.acm.org/10.1145/2980258.2980291
DOI10.1145/2980258.2980291
Citation Keytayal_particle_2016