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Differentiated Security Architecture for Secure and Efficient Infotainment Data Communication in IoV Networks

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Network and System Security (NSS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13787))

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Abstract

This paper aims to provide differentiated security protection for infotainment data communication in Internet-of-Vehicle (IoV) networks. The IoV is a network of vehicles that uses various sensors, software, built-in hardware, and communication technologies to enable information exchange between pedestrians, cars, and urban infrastructure. Negligence on the security of infotainment data communication in IoV networks can unintentionally open an easy access point for social engineering attacks. The attacker can spread false information about traffic conditions, mislead drivers in their directions, and interfere with traffic management. Such attacks can also cause distractions to the driver, which has a potential implication for the safety of driving. The existing literature on IoV communication and network security focuses mainly on generic solutions. In a heterogeneous communication network where different types of communication coexist, we can improve the efficiency of security solutions by considering the different security and efficiency requirements of data communications. Hence, we propose a differentiated security mechanism for protecting infotainment data communication in IoV networks. In particular, we first classify data communication in the IoV network, examine the security focus of each data communication, and then develop a differentiated security architecture to provide security protection on a file-to-file basis. Our architecture leverages Named Data Networking (NDN) so that infotainment files can be efficiently circulated throughout the network where any node can own a copy of the file, thus improving the hit ratio for user file requests. In addition, we propose a time-sensitive Key-Policy Attribute-Based Encryption (KP-ABE) scheme for sharing subscription-based infotainment data. Coupled with our NDN network, any node in the network can own the file, but only those with a valid subscription can decrypt the file, thus achieving the security of infotainment data distribution while optimizing content distribution efficiency.

This work was supported by Alibaba Group through Alibaba Innovative Research (AIR) Program and Alibaba-NTU Singapore Joint Research Institute (JRI), Nanyang Technological University, Singapore.

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Notes

  1. 1.

    \(\mathcal {M}\) is generally the 256 bits AES key used to encrypt the actual content because the size of the actual content is generally larger than the maximum size of the message that can be encrypted by ABE schemes.

  2. 2.

    They cannot break this game in polynomial time [18].

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Author information

Authors and Affiliations

  1. Nanyang Technological University, 50 Nanyang Avenue, Singapore, Singapore

    Jiani Fan, Jiale Guo, Wenzhuo Yang, Dusit Niyato & Kwok-Yan Lam

  2. Singapore Management University, 81 Victoria Street, Singapore, Singapore

    Lwin Khin Shar

Authors
  1. Jiani Fan
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  2. Lwin Khin Shar
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  3. Jiale Guo
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  4. Wenzhuo Yang
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  5. Dusit Niyato
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  6. Kwok-Yan Lam
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Corresponding author

Correspondence to Jiani Fan .

Editor information

Editors and Affiliations

  1. Monash University, Clayton, VIC, Australia

    Xingliang Yuan

  2. The University of Queensland, Queensland, QLD, Australia

    Guangdong Bai

  3. University of Malaga, Málaga, Spain

    Cristina Alcaraz

  4. Concordia University, Montreal, QC, Canada

    Suryadipta Majumdar

A Summary of Math Notation and Symbols

A Summary of Math Notation and Symbols

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Table 3. A summary of math notation and symbols.
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Fan, J., Shar, L.K., Guo, J., Yang, W., Niyato, D., Lam, KY. (2022). Differentiated Security Architecture for Secure and Efficient Infotainment Data Communication in IoV Networks. In: Yuan, X., Bai, G., Alcaraz, C., Majumdar, S. (eds) Network and System Security. NSS 2022. Lecture Notes in Computer Science, vol 13787. Springer, Cham. https://doi.org/10.1007/978-3-031-23020-2_16

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  • DOI: https://doi.org/10.1007/978-3-031-23020-2_16

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