• DocumentCode
    188192
  • Title

    Optimized MHealth Batch Verification for a Variant of DSA

  • Author

    Mbandu, Angolo Shem ; Chunxiang Xu ; Mutiria, Kamenyi Domenic

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    13-15 Oct. 2014
  • Firstpage
    79
  • Lastpage
    86
  • Abstract
    With more and more research focusing on Health Care services, there is need for efficient authentication by use of digital signatures. Currently, the DSA is one of the most commonly used digital signature scheme. This paper proposes an Optimized Health Batch Verification Scheme on a variant of DSA. The proposed system is based on a new optimal DSA-type digital signature scheme, which is also proposed in this paper. Our scheme makes use of Small Exponents Test and Bucket Test subroutines for optimization. Performance evaluation shows that our scheme is significantly more efficient in batch verification of digital signatures, making it suitable for Health applications. The Scheme is secure against authentication threats, message integrity threats and replay attack threats.
  • Keywords
    authorisation; digital signatures; health care; medical computing; mobile computing; optimisation; authentication threats; bucket test subroutines; health applications; health care services; message integrity threats; optimal DSA-type digital signature scheme; optimization; optimized MHealth batch verification; replay attack threats; small exponents test; Algorithm design and analysis; Digital signatures; Medical services; Performance evaluation; Protocols; Smart phones; Batch Verification; Digital Signature Algorithm (DSA); Digital Signatures; Health Care;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-6235-8
  • Type

    conf

  • DOI
    10.1109/CyberC.2014.22
  • Filename
    6984285