Bayesian Spam Filter Based on Distributed Architecture


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The flood of spam promotes the development of anti-spam technology. In this paper, we bring forward the Bayesian filter technology based on the distributed architecture, which can realize the sharing of the Bayesian learning outcomes among servers within the system, so as to increase the accuracy of spam recognition. We, in the paper, discuss the sharing model of information with spam features under the distributed architecture and the spam identification process; analyze the Bayes algorithm and carry out the relevant improvements; design the Bayes Filter based on distributed architecture on the above basis and verify the effect of the filter by experiments.



Advanced Materials Research (Volumes 108-111)

Edited by:

Yanwen Wu




L. Ye et al., "Bayesian Spam Filter Based on Distributed Architecture", Advanced Materials Research, Vols. 108-111, pp. 1415-1420, 2010

Online since:

May 2010




[1] Spam Attacks and Spam Categories, http: /www. brightmail. com/spamstats. html.

[2] Plice, Robert K., Melville, Nigel P.: Toward an information-compatible anti-spam strategy, Communications of the ACM, v 52, n 5, pp.128-130, May 1, (2009).


[3] Lu Xinjie, Chai Qiaolin, Ma, Li: Research and implementation of distributed spam detection System based on multi-agent system, Jisuanji Gongcheng/Computer Engineering, v 31, n 18, pp.124-126, Sep 20 (2008).

[4] Liu Peng, Chen Guangliang, Ye Liang, Zhong Weimin: A spam filtering system based on dynamically organized grid, WSEAS Transactions on Computers, v 4, n 10, pp.1270-1277, October (2005).

[5] Jorgensen Zach, Inge Meador: A multiple instance learning strategy for combating good word attacks on spam filters, Journal of Machine Learning Research, v 9, pp.1115-1146, June (2008).


[6] Fan Yan, Zheng Cheng, Wang Qing-Yi, Cai Qing-Sheng, Liu, Jie: Using Naive Bayes to coordinate the classification of web pages, Ruan Jian Xue Bao/Journal of Software, v 12, n 9, pp.1386-1392, September (2001).

[7] Zhang L.E., Zhu Jingbo, Yao Tianshun: An evaluation of statistical spam filtering techniques, ACM Transactions on Asian Language Information Processing, v 3, n 4, pp.243-269, December (2004).