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Exploiting Cantor Expansion for Covert Channels over LTE-Advanced

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Neural Information Processing (ICONIP 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10638))

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Abstract

Worldwide, the Long Term Evolution Advanced technology has an unprecedented development and popularization in recent years. With the advantages of mobile communication technology, more and more researchers are focused on the security of mobile communication. Until then, some researches about covert channels over the 4th generation mobile communication technology had been proposed. Cantor Expansion is a permutation to a bijection of natural number, so it can be used as a coding scheme for a covert channel. In this paper, a novel class of covert channel based on Cantor Expansion (for decoding) and its inverse operation (for encoding) is proposed and designed for this mobile network. The description, analyses and evaluation of this covert channel will be present in the main part of this paper. Moreover, the peak value of camouflage capability can reach 1470 kbps. Nevertheless it doesnt affect the bandwidth of overt channel and it is difficult to be detected.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 61572456), and the Natural Science Foundation of Jiangsu Province of China (No. BK20151241).

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Authors and Affiliations

  1. School of Computer Science and Technology, University of Science and Technology of China, Hefei, 230027, Anhui, China

    Zhiqiang He, Liusheng Huang, Wei Yang & Zukui Wang

Authors
  1. Zhiqiang He
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  2. Liusheng Huang
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  3. Wei Yang
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  4. Zukui Wang
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Corresponding author

Correspondence to Liusheng Huang .

Editor information

Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, China

    Derong Liu

  2. Guangdong University of Technology, Guangzhou, China

    Shengli Xie

  3. South China University of Technology, Guangzhou, China

    Yuanqing Li

  4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Dongbin Zhao

  5. King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    El-Sayed M. El-Alfy

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He, Z., Huang, L., Yang, W., Wang, Z. (2017). Exploiting Cantor Expansion for Covert Channels over LTE-Advanced. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10638. Springer, Cham. https://doi.org/10.1007/978-3-319-70139-4_89

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  • DOI: https://doi.org/10.1007/978-3-319-70139-4_89

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70138-7

  • Online ISBN: 978-3-319-70139-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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