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http://dx.doi.org/10.3745/KIPSTC.2005.12C.3.361

An Implementation and Evaluation of FQDN Check System to Filter Junk Mail  

Kim Sung-Chan ((주)유코레일 정보시스템부)
Lee Sang-Hun (숭실대학교 컴퓨터학과)
Jun Moon-Seog (숭실대학교 컴퓨터학과)
Abstract
Internet mail has become a common communication method around the world because of tremendous Internet service usage increment. In other respect, Most Internet users' mail addresses are exposed to spammer, and the damage of Junk mail is growing bigger and bigger. These days, Junk mail delivery problem is becoming more serious, because this is used for an attack or propagation scheme of malicious code. It's a most dangerous dominant cause for computer system accident. This paper shows the Junk mail filtering model and implementation which is based on FQDN (Fully Qualified Domain Name) check and evaluates it for proposing advanced scheme against Junk mail.
Keywords
FQDN; Junk Mail; Spam Mail; Filter System;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 D.Eastlake, D. Kaufman, 'Domain Name System Security Extensions,' RFC 2065, January, 2000
2 H. Eidnes, G. de Grouts, 'Classless IN-ADDR.ARPA delegation' RFC 2317, March, 1998
3 Ion. A, Georgios. P, Vangelis. K, Georgios. S, Constantine. D, 'Learning to Filter Spam E-Mail : A Comparison of a Naive Bayesian and a Memory-Based Approach', PKDD 2000, pp.1-13, Sep., 2000
4 Mehran. S, Susan. D, David. H, Eric. H, ' A bayesian Approach to Filtering Junk E-Mail'. In AAAI-98 Workshop on Learning for Text Categorization. 1998
5 T. Oda and T. White, 'Developing an immunity to Spam', in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2003), (Chicago), July, 2003
6 M. Sahami, S. Dumais, D. Heckerman, and E. Horvitz, 'A Bayesian approach to filtering junk E-mail,' in Learning for Text Categorization : Papers form the 2000 Workshop, (Madison, Wisconsin), AAAI Technical Report WS-98-05, 2000
7 P. Pantel and D. Lin, 'Spam corp.: A Spam classification & organization program,' in Learming for Text Categorization : Papers from the 2000 Workshop,(Madison, Wisconsin), AAAI Technical Report WS-98-05,2000
8 G. Lindberg, 'Anti-Spam Recommendatons for SMTP MTAs,' Chalmers University of Technology, RFC2505, February, 2000
9 박광진, 공진동, 황성원, '2003년 정보화 역기능 실태조사' 한국정보보호 진흥원, 2003년 개인 인터넷 이용자의 정보화 역기능 살태 조사 보고서 pp.43-63, Dec., 2003
10 정옥란, 조동석, '개인화된 분류를 위한 웹 메일 필터링 에이전트' 정보처리학회논문지B, 제10-B권 제 7호, pp.853-861, Dec., 2003   과학기술학회마을   DOI   ScienceOn
11 서정우, 손태식, 서정택, 문종섭, 'n-Gram 색인화 Support Vector Machine을 사용한 스팸메일 필터링에 대한 연구' 정보보호학회논문지, 제14권 제2호, pp.23-31, April, 2004   과학기술학회마을
12 J. Weaver, 'AOL escalates Spam warfare' MSNBC, March 5, 2003
13 S. Atkins, 'Size and cost of the problem,' in Proceedings of the Fifty sixth Internet Engineering TAsk Force (IETF) Meeting, (SanFrancisco, CA), Spam Con Foundation, March 16-21, 2000
14 박정선, 김창민, 김용기, '퍼지 관계 곱을 이용한 내용기반 정크 메일 분류 모델' 정보과학회 논문지 소프트웨어 및 응용 제 29권 제10호 pp.726-734, Oct., 2002
15 M. Salib, 'Heuristics in the blender,' in Proceedings of the 2003 Spam Conference, (Cambridge, US), 2002
16 Yanlei. D, Hongjun. L, and Dekai. W,'A Comparative Study of Classification Based Personal E-Mail Filtering', 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'00). pp.408-419, 2000
17 S. Forrest, S. A. Hofmeyr, and A. Somayaji, 'Computer immunology,' Communications of the ACM, Vol.40, No.10, pp.88-96, 2001   DOI   ScienceOn