A Novel Spam Email Detection System Based on Negative Selection

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    14 Citations (Scopus)

    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 languageEnglish
    Title of host publicationFourth International Conference on Computer Sciences and Convergence Information Technology
    Editors Sungwon, Sohn, Kae Dal Kwack, Kyhyun Um, Gye Young Lee, Franz Ko
    Place of PublicationSeoul, Korea
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages987-992
    Number of pages6
    Volume1
    ISBN (Print)9780769538969
    DOIs
    Publication statusPublished - 2009
    EventFourth International Conference on Computer Sciences and Convergence Information Technology - Seoul, Korea, Democratic People's Republic of
    Duration: 24 Nov 200926 Nov 2009

    Conference

    ConferenceFourth International Conference on Computer Sciences and Convergence Information Technology
    CountryKorea, Democratic People's Republic of
    CitySeoul
    Period24/11/0926/11/09

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    Electronic mail
    Immune system

    Cite this

    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). Seoul, Korea: 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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    booktitle = "Fourth International Conference on Computer Sciences and Convergence Information Technology",
    publisher = "IEEE, Institute of Electrical and Electronics Engineers",
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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 BookConference contribution

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    AU - Sharma, Dharmendra

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    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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    A2 - Sungwon, null

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    A2 - Kwack, Kae Dal

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