ProMail: Using progressive email social network for spam detection

Chi Yao Tseng, Jen-Wei Huang, Ming Syan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

The spam problem continues growing drastically. Owing to the ever-changing tricks of spammers, the filtering technique with continual update is imperative nowadays. In this paper, a server-oriented spam detection system ProMail, which investigates human email social network, is presented. According to recent email interaction and reputation of users, arriving emails can be classified as spam or non-spam (ham). To capture the dynamic email communication, the progressive update scheme is introduced to include latest arriving emails by the feedback mechanism and delete obsolete ones. This not only effectively limits the memory space, but also keeps the most up-to-date information. For better efficiency, it is not required to sort the scores of each email user and acquire the exact ones. Instead, the reputation procedure, SpGrade, is proposed to accelerate the progressive rating process. In addition, ProMail is able to deal with huge amounts of emails without delaying the delivery time and possesses higher attack resilience against spammers. The real dataset of 1,500,000 emails is used to evaluate the performance of ProMail, and the experimental results show that ProMail is more accurate and efficient.

Original languageEnglish
Title of host publicationAdvances in Knowledge Discovery and Data Mining - 11th Pacific-Asia Conference, PAKDD 2007, Proceedings
Pages833-840
Number of pages8
Volume4426 LNAI
Publication statusPublished - 2007
Event11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007 - Nanjing, China
Duration: 2007 May 222007 May 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4426 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007
CountryChina
CityNanjing
Period07-05-2207-05-25

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Tseng, C. Y., Huang, J-W., & Chen, M. S. (2007). ProMail: Using progressive email social network for spam detection. In Advances in Knowledge Discovery and Data Mining - 11th Pacific-Asia Conference, PAKDD 2007, Proceedings (Vol. 4426 LNAI, pp. 833-840). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4426 LNAI).