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Internet security: malicious e‐mails detection and protection

Shih Dong‐Her (Department of Information Management, National Yunlin University of Science and Technology, Yunlin, Taiwan, Republic of China)
Chiang Hsiu‐Sen (Department of Information Management, National Yunlin University of Science and Technology, Yunlin, Taiwan, Republic of China)
Chan Chun‐Yuan (Department of Information Management, National Yunlin University of Science and Technology, Yunlin, Taiwan, Republic of China)
Binshan Lin (College of Business Administration, Louisiana State University in Shreveport, Shreveport, Louisiana, USA)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 1 September 2004

Abstract

New malicious e‐mails are created at the rate of thousands a year and pose a serious security threat. Especially, new, unseen Internet worms and virus often are arriving as e‐mail attachments. In this paper, Bayesian probabilistic network is examined to detect new malicious e‐mail viruses through anomaly detection. Experimental results show a better malicious e‐mail detection using Bayesian probabilistic networks. Managerial implications on how companies can protect their e‐mails and develop their own e‐mail security plan are addressed as well.

Keywords

Citation

Dong‐Her, S., Hsiu‐Sen, C., Chun‐Yuan, C. and Lin, B. (2004), "Internet security: malicious e‐mails detection and protection", Industrial Management & Data Systems, Vol. 104 No. 7, pp. 613-623. https://doi.org/10.1108/02635570410550278

Publisher

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Emerald Group Publishing Limited

Copyright © 2004, Emerald Group Publishing Limited