Multi-tier Phishing Email Classification with an Impact of Classifier Rescheduling

MD Rafiqul Islam, Jemal Abawajy, Matthew Warren

Research output: Book chapter/Published conference paperConference paperpeer-review

20 Citations (Scopus)


Protecting user's mailbox from infiltration of phishing email is a significant research issue now a day. Many researches are going on filtering phishing using classification based algorithms and achieve substantial performance. It has been studied and investigated with different classification algorithms and observed that the outputs of the classifiers vary from one another with same corpora. This paper presents the impact of classifier rescheduling of multi-tier classification of phishing email to observe the best scheduling in the classification process. In our method, the features of phishing email will be extracted and classified in a sequential fashion by using the multi-tier classification and the outputs will be sent to the decision fusion process. Empirical evidence proofs that the impact of rescheduling of classifiers among the tiers gives diverse outcomes in terms of accuracy as well as number of false positive instances.
Original languageEnglish
Title of host publicationIEEE
Subtitle of host publicationISPAN2009
Place of PublicationUSA
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9780769539089
Publication statusPublished - 2009
EventInternational Symposium on Pervasive Systems, Algorithms, and Networks (ISPAN) - Kaohsiung, Taiwan, China
Duration: 14 Dec 200916 Dec 2009


ConferenceInternational Symposium on Pervasive Systems, Algorithms, and Networks (ISPAN)


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