Spam filtering by stages

Ming Liu; Yunchun Li; Wei Li

doi:10.1109/ICCIT.2007.4420582

Spam filtering by stages

Ming Liu^*
, Yunchun Li
, Wei Li

^*Corresponding author for this work

School of Computer Science and Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

At the present time, the typical spam filtering technique is content filtering, but the content filtering belongs to after the event precaution, and cannot avoid network resources waste due to spam. Therefore, this paper used a method of spam behaviour recognition filtering. The method identify the spam according to the behaviour of mail sent, set up the model by Bayes technique, filter spam by the least risk of Bayes technique, and in the mail filtering application filtering spam by stages in order to recognizes the spam email as soon as possible. Experiments show that this method could get a better effect, and could identify the spam as early as possible, so that this approach could solve the problem of resources wasting.

Original language	English
Title of host publication	2007 International Conference on Convergence Information Technology, ICCIT 2007
Pages	2209-2213
Number of pages	5
DOIs	https://doi.org/10.1109/ICCIT.2007.4420582
State	Published - 2007
Event	2nd International Conference on Convergent Information Technology, ICCIT 07 - Gyongju, Korea, Republic of Duration: 21 Nov 2007 → 23 Nov 2007

Publication series

Name	2007 International Conference on Convergence Information Technology, ICCIT 2007

Conference

Conference	2nd International Conference on Convergent Information Technology, ICCIT 07
Country/Territory	Korea, Republic of
City	Gyongju
Period	21/11/07 → 23/11/07

Keywords

Behavior recognition
Grading of spam filtering
Naive bayes
Spam filtering

Access to Document

10.1109/ICCIT.2007.4420582

Cite this

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title = "Spam filtering by stages",

abstract = "At the present time, the typical spam filtering technique is content filtering, but the content filtering belongs to after the event precaution, and cannot avoid network resources waste due to spam. Therefore, this paper used a method of spam behaviour recognition filtering. The method identify the spam according to the behaviour of mail sent, set up the model by Bayes technique, filter spam by the least risk of Bayes technique, and in the mail filtering application filtering spam by stages in order to recognizes the spam email as soon as possible. Experiments show that this method could get a better effect, and could identify the spam as early as possible, so that this approach could solve the problem of resources wasting.",

keywords = "Behavior recognition, Grading of spam filtering, Naive bayes, Spam filtering",

author = "Ming Liu and Yunchun Li and Wei Li",

year = "2007",

doi = "10.1109/ICCIT.2007.4420582",

language = "英语",

isbn = "0769530389",

series = "2007 International Conference on Convergence Information Technology, ICCIT 2007",

pages = "2209--2213",

booktitle = "2007 International Conference on Convergence Information Technology, ICCIT 2007",

note = "2nd International Conference on Convergent Information Technology, ICCIT 07 ; Conference date: 21-11-2007 Through 23-11-2007",

}

Liu, M, Li, Y & Li, W 2007, Spam filtering by stages. in 2007 International Conference on Convergence Information Technology, ICCIT 2007., 4420582, 2007 International Conference on Convergence Information Technology, ICCIT 2007, pp. 2209-2213, 2nd International Conference on Convergent Information Technology, ICCIT 07, Gyongju, Korea, Republic of, 21/11/07. https://doi.org/10.1109/ICCIT.2007.4420582

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AU - Li, Yunchun

AU - Li, Wei

PY - 2007

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AB - At the present time, the typical spam filtering technique is content filtering, but the content filtering belongs to after the event precaution, and cannot avoid network resources waste due to spam. Therefore, this paper used a method of spam behaviour recognition filtering. The method identify the spam according to the behaviour of mail sent, set up the model by Bayes technique, filter spam by the least risk of Bayes technique, and in the mail filtering application filtering spam by stages in order to recognizes the spam email as soon as possible. Experiments show that this method could get a better effect, and could identify the spam as early as possible, so that this approach could solve the problem of resources wasting.

KW - Behavior recognition

KW - Grading of spam filtering

KW - Naive bayes

KW - Spam filtering

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DO - 10.1109/ICCIT.2007.4420582

M3 - 会议稿件

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Y2 - 21 November 2007 through 23 November 2007

ER -

Spam filtering by stages

Abstract

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Conference

Keywords

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