Research of Chinese Multi-Pattern Fuzzy Matching Method for SMS Spam Monitoring

Abstract:

In this paper, it is analyzed the content and achieving mechanism of WM algorithm on account of frequently asked questions during the monitoring and filtering of Short Message Service(SMS) spam, and brought forward a kind of Chinese message with multi- patterns fuzzy matching method to improve WM algorithm to apply to Chinese spam message filtering. The method firstly does pretreatment of key words and fuzzification of monitor for message on account of expressive diversity of Chinese message, and then realizes initial matching by improving WM algorithm. Because the preliminary result is not the final one, it needs further fuzzily match for the result. It does particular introduction of the method and the model of monitor and filtration for Chinese SMS spam in the paper. The method’s correctness and performing efficiency also has been done experimental analysis, test and comparison experiment with former system that had not been done pretreatment. Experimental results show the validity of the improving algorithms. The method is testing further during the practice.

• Periodical: Advanced Materials Research (Volumes 532-533)
• Pages: 748-752
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.532-533.748
• Online since: June 2012
• Authors: Jian Qin, Shi Qun Yin
• Keywords: Chinese Fuzzy Matching, Multi-Pattern Matching, SMS Spam, WM Algorithm

References

[1] Yihui Shan, Yuming Jiang and Shiyuan Tian, Improved Pattern Matching Algorithm of BMHS for Intrusion Detection, Computer Engineering, 2009, 24(35).

[2] Xuanmiao Fan, Ning Zheng and Yuan Fan, Efficient multi_pattern matching algorithm for web intrusion detection systems, ApplicationR esearch ofComputers, 2009, 4(26).

[3] Khan S, Schollmeier R, Steinbach E. A performance Comparison of multiple description video streaming in peer-to-peer and cnotent delivery networkks. In: IEEE International Conference on Multimedia and Expo, Taipei, Jun (2004).

DOI: 10.1109/icme.2004.1394239

[4] Khan S, Schollmeier R, Steinbach E. A performance Comparison of multiple description video streaming in peer-to-peer and cnotent delivery networkks. In: IEEE International Conference on Multimedia and Expo, Taipei, Jun (2004).

DOI: 10.1109/icme.2004.1394239

[5] Shengfei Liu andYunquan Zhang, Improved Pattern Matching Algorithm of BMH, Computer Science, 2008，35(11)：170—173.

[6] Zhiwei Wang and Lingdi Ping, Research on high-performance pattern matching algorithm. Computer Engineering and Applications, 2010, 46(1): 28-31.