• DocumentCode
    3579728
  • Title

    A Fuzzy Operator-Attribute-Based Signcryption Scheme on Vehicular Clouds

  • Author

    Zhang Wenbo ; Yang Pengfei ; Bao Zhenshan ; Duan Lijuan ; Li Jian

  • Author_Institution
    Coll. of Comput. Sci., Beijing Univ. of Technol., Beijing, China
  • fYear
    2014
  • Firstpage
    170
  • Lastpage
    174
  • Abstract
    Vehicular Computer Clouds (VCC) would be expected to play a major role in the Intelligent Transportation System (ITS) in the near future. While it is clear that the VCC concept raise exceptional security challenges. Generally speaking, most attacks come from operators. So it is important to design the novel VCC security scheme based on operator´s attributes. In this paper, we develop the Fuzzy Operator-Attribute-Based Signcryption (FOABS), a novel security mechanism that makes relations between the vehicle operator´s right and these operation. FOABS leverages fuzzy Attribute-Based encryption to enable data encryption, access control, and signature for vehicular control information in VCC. FOABS provides confidentiality, authenticity, undeniability, identity authentication, and collusion resistance.
  • Keywords
    authorisation; cloud computing; computer crime; cryptography; digital signatures; fuzzy set theory; intelligent transportation systems; road vehicles; FOABS; ITS; VCC security scheme; access control; attacks; authenticity; collusion resistance; confidentiality; data encryption; fuzzy attribute-based encryption; fuzzy operator-attribute-based signcryption scheme; identity authentication; intelligent transportation system; operator attributes; security mechanism; signature; undeniability; vehicle operator; vehicular computer clouds; vehicular control information; Access control; Authentication; Cloud computing; Encryption; Vehicles; Access Control; Operator-Attribute-Based Signcryption (FOABS); Vehicular Cloud Clouds (VCC); vehicular networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Identification, Information and Knowledge in the Internet of Things (IIKI), 2014 International Conference on
  • Type

    conf

  • DOI
    10.1109/IIKI.2014.42
  • Filename
    7064022