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General Information
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2017 Vol.6(2): 63-66 ISSN: 2010-3751
doi: 10.18178/ijfcc.2017.6.2.490

Mail Detection Model of Campus Network Based on the Adaptive Learning Algorithm

Bin Chen, Yizhou Dong, and Mingrong Mao
Abstract—Concerning the problem that a large number of spam disturbing the user, a method named adaptive learning algorithm was proposed. The passive attack method based on the Simple Mail Transfer Protocol(SMTP) session log initiated by the mail host in the campus during half a year. Analysis on the status of delivery rate and many types of failure message of the host behavior in the session record, and ultimately achieve effective adaptation by detecting spam source host behavior on the recent email classification. The experimental results show that the implementation of a number of rounds of classification strategy adjustment, at last the detection accuracy can reach 94.7%. The design is very useful for network administrators, he can effectively detect spam internal host status, and control the behavior of the spam host in the beginning.

Index Terms—Spam host, SMTP session, adaptive learning, categorizer, failure information.

The authors are with Nanjing Normal University, Jiangsu, China (e-mail: 60167@njnu.edu.cn).

[PDF]

Cite: Bin Chen, Yizhou Dong, and Mingrong Mao, "Mail Detection Model of Campus Network Based on the Adaptive Learning Algorithm," International Journal of Future Computer and Communication vol. 6, no. 2, pp. 63-66, 2017.

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