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A Scheme to Improve the Security of IoT Communication

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Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13340))

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Abstract

In the Internet of Vehicles scenario of the Internet of Things, the security of transmission has become a big challenge. In order to deal with such security risks, we add AES encryption mechanism to the classic Ad hoc On-Demand Distance Vector Routing (AODV) routing protocol in mobile sensor networks and design an AODV-AES encrypted communication protocol, which can be applied to wireless sensor networks of Internet of Vehicles. The protocol has the following advantages: low delay, low energy consumption, and high security. The above advantages show that the AODV-AES encryption communication protocol meets the characteristics of low delay, limited memory, and energy storage of mobile sensor nodes. We also compare several protocols through NS2 simulation software, add blackhole attacked in malicious node attacks, and analyze the average end-to-end delay when attacked by different numbers of nodes. In addition, we also analyze the changing trend of source node energy consumption when attacked in different scenarios. The experimental results show that the AODV-AES encryption communication protocol can not only meet the function of encrypting and decrypting privacy information, but also effectively reduce the average end-to-end delay and reduce the energy consumption of the source node when attacked. It shows that the AODV-AES encryption communication protocol can be applied to the wireless mobile sensor network of the Internet of Vehicles, and improve communication security.

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Acknowledgements

This work is supported by the Key Project of Hunan Provincial Department of Education (20A191) and Hunan Teaching Research and Reform Project (2019).

Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China

    Junjie Fu, Xiaoliang Wang & Yuzhen Liu

  2. Hunan Key Laboratory for Service Computing and Novel Software Technology, Xiangtan, 411201, China

    Junjie Fu, Xiaoliang Wang & Yuzhen Liu

  3. School of Computer Science and Information Engineering, Guangzhou Maritime University, Guangzhou, 510725, China

    Qing Yang

  4. Centre for Cyber Security Research and Innovation (CSRI), Deakin University, Geelong, 3220, Australia

    Frank Jiang

Authors
  1. Junjie Fu
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  2. Xiaoliang Wang
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  3. Yuzhen Liu
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  4. Qing Yang
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  5. Frank Jiang
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Corresponding author

Correspondence to Xiaoliang Wang .

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Editors and Affiliations

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

    Xingming Sun

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

    Xiaorui Zhang

  3. Jinan University, Guangzhou, China

    Zhihua Xia

  4. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Fu, J., Wang, X., Liu, Y., Yang, Q., Jiang, F. (2022). A Scheme to Improve the Security of IoT Communication. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13340. Springer, Cham. https://doi.org/10.1007/978-3-031-06791-4_36

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  • DOI: https://doi.org/10.1007/978-3-031-06791-4_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06790-7

  • Online ISBN: 978-3-031-06791-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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