A Novel Spam Email Detection System Based on Negative Selection

Wanli Ma; Dat Tran; Dharmendra Sharma

doi:10.1109/ICCIT.2009.58

A Novel Spam Email Detection System Based on Negative Selection

Wanli Ma, Dat Tran, Dharmendra Sharma

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

21 Citations (Scopus)

311 Downloads (Pure)

Abstract

Nowadays, detecting and filtering are still the most feasible ways of fighting spam emails . There are many reasonably successful spam email filters in operation. However, proactively catching new strains of spam emails, where no previous knowledge is available, is still a major challenge. Negative selection is a branch of artificial immune systems. It has a strong temporal nature and is especially suitable for discovering unknown temporal patterns. This nature makes it a good candidate in quickly discovering and detecting new strains of spam emails. In this paper, we study the feasibility of negative selection in detecting spam emails without using any prior knowledge of any spam emails. We use TREC07 corpus for our experiments. The outcomes, under the assumption of no prior knowledge about spam emails, are very encouraging. We also discuss our findings and point out possible future directions.

Original language	English
Title of host publication	Fourth International Conference on Computer Sciences and Convergence Information Technology
Editors	Sungwon, Sohn, Kae Dal Kwack, Kyhyun Um, Gye Young Lee, Franz Ko
Place of Publication	Seoul, Korea
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	987-992
Number of pages	6
Volume	1
ISBN (Print)	9780769538969
DOIs	https://doi.org/10.1109/ICCIT.2009.58
Publication status	Published - 2009
Event	Fourth International Conference on Computer Sciences and Convergence Information Technology - Seoul, Korea, Democratic People's Republic of Duration: 24 Nov 2009 → 26 Nov 2009

Conference

Conference	Fourth International Conference on Computer Sciences and Convergence Information Technology
Country/Territory	Korea, Democratic People's Republic of
City	Seoul
Period	24/11/09 → 26/11/09

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10.1109/ICCIT.2009.58

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Ma, W., Tran, D., & Sharma, D. (2009). A Novel Spam Email Detection System Based on Negative Selection. In Sungwon, Sohn, K. D. Kwack, K. Um, G. Y. Lee, & F. Ko (Eds.), Fourth International Conference on Computer Sciences and Convergence Information Technology (Vol. 1, pp. 987-992). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCIT.2009.58

Ma, Wanli ; Tran, Dat ; Sharma, Dharmendra. / A Novel Spam Email Detection System Based on Negative Selection. Fourth International Conference on Computer Sciences and Convergence Information Technology. editor / Sungwon ; Sohn ; Kae Dal Kwack ; Kyhyun Um ; Gye Young Lee ; Franz Ko. Vol. 1 Seoul, Korea : IEEE, Institute of Electrical and Electronics Engineers, 2009. pp. 987-992

@inproceedings{8dff9d9d3c994028b61113fc87258c94,

title = "A Novel Spam Email Detection System Based on Negative Selection",

abstract = "Nowadays, detecting and filtering are still the most feasible ways of fighting spam emails . There are many reasonably successful spam email filters in operation. However, proactively catching new strains of spam emails, where no previous knowledge is available, is still a major challenge. Negative selection is a branch of artificial immune systems. It has a strong temporal nature and is especially suitable for discovering unknown temporal patterns. This nature makes it a good candidate in quickly discovering and detecting new strains of spam emails. In this paper, we study the feasibility of negative selection in detecting spam emails without using any prior knowledge of any spam emails. We use TREC07 corpus for our experiments. The outcomes, under the assumption of no prior knowledge about spam emails, are very encouraging. We also discuss our findings and point out possible future directions.",

author = "Wanli Ma and Dat Tran and Dharmendra Sharma",

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note = "Fourth International Conference on Computer Sciences and Convergence Information Technology ; Conference date: 24-11-2009 Through 26-11-2009",

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Ma, W , Tran, D & Sharma, D 2009, A Novel Spam Email Detection System Based on Negative Selection. in Sungwon, Sohn, KD Kwack, K Um, GY Lee & F Ko (eds), Fourth International Conference on Computer Sciences and Convergence Information Technology. vol. 1, IEEE, Institute of Electrical and Electronics Engineers, Seoul, Korea, pp. 987-992, Fourth International Conference on Computer Sciences and Convergence Information Technology, Seoul, Korea, Democratic People's Republic of, 24/11/09. https://doi.org/10.1109/ICCIT.2009.58

A Novel Spam Email Detection System Based on Negative Selection. / Ma, Wanli ; Tran, Dat ; Sharma, Dharmendra.
Fourth International Conference on Computer Sciences and Convergence Information Technology. ed. / Sungwon; Sohn; Kae Dal Kwack; Kyhyun Um; Gye Young Lee; Franz Ko. Vol. 1 Seoul, Korea: IEEE, Institute of Electrical and Electronics Engineers, 2009. p. 987-992.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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AU - Ma, Wanli

AU - Tran, Dat

AU - Sharma, Dharmendra

PY - 2009

Y1 - 2009

N2 - Nowadays, detecting and filtering are still the most feasible ways of fighting spam emails . There are many reasonably successful spam email filters in operation. However, proactively catching new strains of spam emails, where no previous knowledge is available, is still a major challenge. Negative selection is a branch of artificial immune systems. It has a strong temporal nature and is especially suitable for discovering unknown temporal patterns. This nature makes it a good candidate in quickly discovering and detecting new strains of spam emails. In this paper, we study the feasibility of negative selection in detecting spam emails without using any prior knowledge of any spam emails. We use TREC07 corpus for our experiments. The outcomes, under the assumption of no prior knowledge about spam emails, are very encouraging. We also discuss our findings and point out possible future directions.

AB - Nowadays, detecting and filtering are still the most feasible ways of fighting spam emails . There are many reasonably successful spam email filters in operation. However, proactively catching new strains of spam emails, where no previous knowledge is available, is still a major challenge. Negative selection is a branch of artificial immune systems. It has a strong temporal nature and is especially suitable for discovering unknown temporal patterns. This nature makes it a good candidate in quickly discovering and detecting new strains of spam emails. In this paper, we study the feasibility of negative selection in detecting spam emails without using any prior knowledge of any spam emails. We use TREC07 corpus for our experiments. The outcomes, under the assumption of no prior knowledge about spam emails, are very encouraging. We also discuss our findings and point out possible future directions.

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DO - 10.1109/ICCIT.2009.58

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A2 - Sungwon, null

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A2 - Kwack, Kae Dal

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PB - IEEE, Institute of Electrical and Electronics Engineers

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Y2 - 24 November 2009 through 26 November 2009

ER -

A Novel Spam Email Detection System Based on Negative Selection

Abstract

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