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An Approach for Detecting Flooding Attack Based on Integrated Entropy Measurement in E-Mail Server

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Advanced Technologies, Embedded and Multimedia for Human-centric Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 260))

Abstract

The aim of this study is to protect an electronic mail (email) server system based on an integrated Entropy calculation via detecting flooding attacks. Lots of approaches have been proposed by many researchers to detect packets accessing email whether are belonging to the normal or abnormal packets. Entropy is an approach of the mathematical theory of Communication; it can be used to measure the uncertainty or randomness in a random variable. A normal email server usually supports the four protocols consists of Simple Mail Transfer Protocol (SMTP), Post Office Protocol version 3 (POP3), Internet Message Access Protocol version 4 (IMAP4), and HTTPS being used by remote web-based email. However, in Internet, there are many flooding attacks will try to paralyze email server system. Therefore, we propose a new approach for detecting flooding attack based on Integrated Entropy Measurement in email server. Our approach can reduce the misjudge rate compared to conventional approaches.

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Acknowledgments

This work was supported in part by Asia University, Taiwan, under Grant 101-asia-28, and by the National Science Council, Taiwan, Republic of China, under Grant NSC99-2221-E-468-011.

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Correspondence to Hsing-Chung Chen .

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Chen, HC., Tseng, SS., Mao, CH., Lee, CC., Churniawan, R. (2014). An Approach for Detecting Flooding Attack Based on Integrated Entropy Measurement in E-Mail Server. In: Huang, YM., Chao, HC., Deng, DJ., Park, J. (eds) Advanced Technologies, Embedded and Multimedia for Human-centric Computing. Lecture Notes in Electrical Engineering, vol 260. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7262-5_107

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  • DOI: https://doi.org/10.1007/978-94-007-7262-5_107

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7261-8

  • Online ISBN: 978-94-007-7262-5

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