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Proceedings of International Conference on Computer Science and Information Technology pp 261–268Cite as

Pollution Resistance Network Coding Research for Ad hoc Network

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 255))

Abstract

Network coding technique was applied to ad hoc network transmission mechanism, which has the advantages of enhancing network throughput and balancing load. In view of the inherent vulnerability of network coding against pollution attack, combined with node identity authentication system, a detecting pollution attack scheme based on message authentication code (MAC) was proposed. The simulation shows that the scheme has high detection efficiency and low computational complexity of authentication information generation and verification. It has saved the computational overhead; therefore, this paper is more suitable for the resource-constrained ad hoc network.

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References

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Acknowledgments

The National Natural Science Foundation of China (61151002, 60939002); The Fundamental Research Funds for the Central Universities (N110404033).

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Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, China

    Jun Liu & Chang Liu

  2. Chinese People’s Liberation Army in the 764 Factory Military Agent’s Room, Jinan, China

    Hui Liu

  3. China National Software & Service Co., Ltd., Beijing, 100081, China

    Xiang-jun Liu

Authors
  1. Jun Liu
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  2. Chang Liu
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  3. Hui Liu
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  4. Xiang-jun Liu
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Corresponding author

Correspondence to Jun Liu .

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Editors and Affiliations

  1. Computer Science and Engineering, SOA University, Bhubaneswar, India

    Srikanta Patnaik

  2. Electronics and Computer Engineering Technology, Indiana State University, Terre Haute, IN, USA

    Xiaolong Li

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© 2014 Springer India

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Liu, J., Liu, C., Liu, H., Liu, Xj. (2014). Pollution Resistance Network Coding Research for Ad hoc Network. In: Patnaik, S., Li, X. (eds) Proceedings of International Conference on Computer Science and Information Technology. Advances in Intelligent Systems and Computing, vol 255. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1759-6_32

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  • DOI: https://doi.org/10.1007/978-81-322-1759-6_32

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1758-9

  • Online ISBN: 978-81-322-1759-6

  • eBook Packages: EngineeringEngineering (R0)

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