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Efficient Attribute Based Access Control Mechanism for Vehicular Ad Hoc Network

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Network and System Security (NSS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7873))

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Abstract

In this work, we provide a solution to help mitigate the problem of the large ciphertext size in designing access control mechanism using Attribute Based Encryption (ABE) for vehicular communications. Our approach is to use access policy in Disjunctive Normal Form (DNF) enabling the length of ciphertext linear in the number of conjunctions instead of number of attributes in the access policy. This reduces communication overhead in contrast to the existing works in the area. The proposed scheme is computationally efficient as it requires only a constant number of pairings during encryption and decryption. Vehicles can validate their secret attribute-keys obtained from the Central Authority (CA) as well as from an Road Side Unit (RSU) individually. Remarkably, our approach allows vehicles to send multiple messages in a single ciphertext. Our scheme is collusion-resistant, secure under compromised RSUs and is proven to be secure in generic group model.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India

    Y. Sreenivasa Rao & Ratna Dutta

Authors
  1. Y. Sreenivasa Rao
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  2. Ratna Dutta
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Editor information

Editors and Affiliations

  1. Computer Science Department, ETSI Informatica, University of Malaga, Campus de Teatinos, 29071, Malaga, Spain

    Javier Lopez

  2. School of Mathematics and Computer Science, Fujian Normal University, No. 32 Shangsan Road, 350007, Fuzhou, China

    Xinyi Huang

  3. Institute for Cyber Security,, University of Texas at San Antonio, One UTSA Circle, 78249, San Antonio, TX, USA

    Ravi Sandhu

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Rao, Y.S., Dutta, R. (2013). Efficient Attribute Based Access Control Mechanism for Vehicular Ad Hoc Network. In: Lopez, J., Huang, X., Sandhu, R. (eds) Network and System Security. NSS 2013. Lecture Notes in Computer Science, vol 7873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38631-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-38631-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38630-5

  • Online ISBN: 978-3-642-38631-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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