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Coverless Information Hiding Technology Research Based on News Aggregation

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Cloud Computing and Security (ICCCS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10602))

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Abstract

This paper proposes a novel coverless information hiding method based on news aggregation. It converts the secret message M to a large integer N, and hides N in a news web by changing the order of news headlines. Experimental results and analysis show that this method is robust for any current steganalysis algorithm, and effective for stego-message delivery.

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Acknowledgments

This work is supported by National Natural Science Foundation of China (61373132), Key Laboratory of Hunan Province Of Basic Education Information Technology (2015TP1017), Research Project of Teaching Reform in Colleges and Universities in Hunan (2012[528]).

Author information

Authors and Affiliations

  1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China

    Conghua Liu & Gang Luo

  2. School of Information Science and Engineering, Hunan First Normal University, Changsha, 410205, China

    Zuwei Tian

Authors
  1. Conghua Liu
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  2. Gang Luo
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  3. Zuwei Tian
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Corresponding author

Correspondence to Conghua Liu .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. National Dong Hwa University, Shoufeng, Taiwan

    Han-Chieh Chao

  3. China Information Technology Security Evaluation Center, Nanjing, China

    Xingang You

  4. Department of Computer Science, Purdue University, West Lafayette, Indiana, USA

    Elisa Bertino

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Liu, C., Luo, G., Tian, Z. (2017). Coverless Information Hiding Technology Research Based on News Aggregation. In: Sun, X., Chao, HC., You, X., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2017. Lecture Notes in Computer Science(), vol 10602. Springer, Cham. https://doi.org/10.1007/978-3-319-68505-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-68505-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68504-5

  • Online ISBN: 978-3-319-68505-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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