A Multiobjective Evolutionary Algorithm for spam e-mail filtering

Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008

Volumn , Issue , 2008, Pages 366-371

  Lopez Herrera A G ^a   Herrera Viedma, E ^b   Herrera, F ^b  

^a UNIVERSITY OF JAÉN   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRONIC MAIL; EVOLUTIONARY ALGORITHMS; GENETIC PROGRAMMING; INTELLIGENT CONTROL; INTELLIGENT SYSTEMS; INTERNET; MULTIOBJECTIVE OPTIMIZATION; SPAMMING;

E-MAIL FILTERING; FILTERING RULES; MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS; NSGA-II; PROGRAMMING COMPONENTS;

KNOWLEDGE ENGINEERING;

EID: 60349108332     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISKE.2008.4730957     Document Type: Conference Paper

References (26)

1. G. J. Koprowski. Spam accounts for most e-mail traffic, Tech News World (2006). Available: http://www.technewsworld.com/story/51055.html
2. L. F. Cranor and B. A. LaMacchia. Spam! CACM, 41:8 (1998), pp. 74-83.
3. S. Machlis. Uh-oh: Spam's getting more sophisticated. Computerworld, Jan 17 2003.
4. J. Gleick. Tangled up in spam. New York Times, Feb 9 2003. Available: http://www.nytimes.com/2003/02/09/magazine/09SPAM.html.
5. K. Schneider. Fighting spam in real time. In Proceedings of the 2003 Spam Conference, Jan 2003. Available: http://www.brightmail.com/press/2003 MIT Spam-Conference/.
6. L. Weinstein. Inside risks: Spam wars. CACM, 46:8 (2003), pp. 136.
7. S. Hinde. Spam: the evolution of a nuisance. Computer Security 22(6) (2003), pp. 474-478.
8. Z. Gyongyi, H. Garcia-Molina. Spam: it's not just for inboxes anymore. IEEE Computer 38:10 (2005), pp. 28-34.
9. Mason J. The SpamAssassin homepage. (2004). Available: http://www. Spamassassin.org/index.html.
10. G. Sakkis, I. Androutsopoulos, G. Paliouras, V. Karkaletsis, C. Spyropoulos, P. Stamatopoulos. A memory based approach to anti-Spam filtering for mailing lists. Information Retrieval 6 (2003), pp. 49-73.
11. X. Carreras, L. Marquez. Boosting trees for anti-spam email filtering. In: Proceedings of RANLP-01, 4th international conference on recent advances in natural language processing (2001).
12. Androutsopoulos I, Koutsias J, Chandrinos KV, Paliouras G, Spyropoulos CD (2000) An evaluation of naive Bayesian antispam filtering. In: Proceedings of the workshop on machine learning in the new information age. 11th European Conference on Machine Learning, Barcelona, Spain (2000), pp. 9-17.
13. X. Yue, A. Abraham, Z.X. Chi, Y.Y. Hao, H. Mo. Artificial immune system inspired behavior-based anti-spam filter. Soft Computing 11:8 (2007), pp. 729-740.
14. O. Cordón, E. Herrera-Viedma, C. López-Pujalte, M. Luque, and C. Zarco, A review on the application of evolutionary computation to information retrieval, International Journal of Approximate Reasoning 34 (2003), pp. 241-264.
15. K. Deb, A. Pratap, S. Agrawal, and T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation 6 (2002), pp. 182-197.
16. C.J. van Rijsbergen, Information retrieval, Butterworth, 1979.
17. H. Chen, G. Shankaranarayanan, L. She, and A. Iyer, A machine learning approach to inductive query by example: An experiment using relevance feedback, ID3, genetic algorithms, and simulated annealing, Journal of the American Society for Information Science 49:8 (1998), pp. 693-705.
18. M. P Smith and M. Smith, The use of genetic programming to build Boolean queries for text retrieval through relevance feedback, Journal of Information Science 23:6 (1997), pp. 423-431.
19. J. Koza, Genetic programming. on the programming of computers by means of natural selection, The MIT Press, 1992.
20. D.H. Kraft, F.E. Petry, B.P. Buckles, and T. Sadasivan. Genetic algorithms and fuzzy logic systems, ch. Genetic algorithms for query optimization in information retrieval: relevance feedback, pp. 155-173, Sanchez, E. and Shibata, T. and Zadeh, L.A., Eds., (World Scientific), 1997.
21. LingSpam dataset. Donwloadable from http://www.aueb.gr/users/ion/data/ lingspam/iiublic.tar.gz
22. Spambase dataset. Donwloadable from http://www.ics.uci.edu/~mlearn/ MLRepository.html.
23. SpamAssasin dataset. Donwloadable from http://spamassassin.apache.org.
24. PTJI dataset. Donwloadable from http://www.iit.demokritos.gr/skel/i- config/downloads/pul-encoded.tar.gz
25. I. Androutsopoulos, J. Koutsias, K.V. Chandrinos, CD. Spyropoulos. An experimental comparison of naive Bayesian and keyword-based anti-spam filtering with personal e-mail messages. Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval (2000), pp. 160-167.
26. O. Cordon, E. Herrera-Viedma, and M. Luque. Improving the learning of boolean queries by means a multiobjective IQBE evolutionary algorithm, Information Processing & Management 42:3 (2006), pp. 615-632.