Volume 4 Number 3 (Mar. 2009)
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JCP 2009 Vol.4(3): 245-250 ISSN: 1796-203X
doi: 10.4304/jcp.4.3.245-250

Application of Refined LSA and MD5 Algorithms in Spam Filtering

Jingtao Sun1, 2, Qiuyu Zhang2, Zhanting Yuan2
1College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China
2College of Computer and Communication, Lanzhou University of Technology, Lanzhou, China


Abstract—The paper proposes a spam filtering method that uses integrated and refined Latent Semantic Analysis (LSA) and Message-Digest Algorithm 5 (MD5) algorithms to address a series of universal problems in spam filtering, including remarkably lowered filtering precision and notably unbalanced filtering efficiency as a result of lack of latent semantic analysis of mail contents. In introducing LSA, its weighting function is improved by integrating fuzzy membership to improve effectiveness of LSA in processing mail contents. On top of this, MD5 algorithm is used to generate “E-mail fingerprint”, thus enabling quick matching and realizing highly efficient and accurate processing of mass-mailing spam. The result of the simulation experiment testifies effectiveness of the method.

Index Terms—Latent Semantic Analysis, Message-Digest Algorithm 5, Fuzzy Membership, E-mail Fingerprint, Spam Filtering.

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Cite: Jingtao Sun, Qiuyu Zhang, Zhanting Yuan, "Application of Refined LSA and MD5 Algorithms in Spam Filtering," Journal of Computers vol. 4, no. 3, pp. 245-250, 2009.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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