The Journal of Supercomputing

, Volume 70, Issue 1, pp 177–199 | Cite as

Detection and analysis of secure intelligent universal designated verifier signature scheme for electronic voting system

  • Liming Zuo
  • Neeraj Kumar
  • Hang Tu
  • Ankit Singh
  • Naveen Chilamkurti
  • Seungmin Rho
Article

Abstract

Security is a paramount concern for various applications, such as electronic voting system as sensitive data is to be transmitted among the nodes during transmission. Recently, Wu and Lin (Inf Technol Control 42:231–237, 2013) proposed a new probabilistic signature scheme and used it to construct two universal designated verifier signature schemes. They demonstrated that their scheme was secure under the bilinear inverse Diffie–Hellman assumption. However, in this paper, we will show that their scheme cannot provide unforgeability, i.e., the adversary could forge a legal signature of any message. The analysis shows that their schemes are not suitable for practical applications. To overcome these weaknesses, we proposed three improved schemes which are provably secure in the random oracles. In summary, our contributions in this paper was listed in following three folds: (1) we have shown that Wu et al. schemes cannot provide unforgeability, i.e., the adversary could forge a legal signature of any message. (2) We have proposed three improved schemes which overcomes the drawbacks of Wu et al. scheme and finally, (3) we have implemented the real-time packet analyzer for detection of invalid signature in electronic voting system using Snort. The analysis shows that the existing scheme is not suitable for practical applications and our implemented scheme is able to detect the vulnerability in the electronic voting system. The designed scheme generated alerts at regular intervals so that administrator takes adequate measures to mitigate the intrusion presented in the system.

Keywords

Probabilistic signature Universal designated verifier signature  Bilinear inverse Diffie–Hellman problem Privacy-preserving Random oracle 

Notes

Acknowledgments

The authors would like to thank all the anonymous reviewers for their valuable suggestions and comments which improve the overall quality and presentation of the paper. This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) and funded by the Ministry of Education (2013R1A1A2061978).

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Liming Zuo
    • 1
  • Neeraj Kumar
    • 2
  • Hang Tu
    • 3
  • Ankit Singh
    • 2
  • Naveen Chilamkurti
    • 4
  • Seungmin Rho
    • 5
  1. 1.School of Natural ScienceEast China Jiaotong UniversityNanchangChina
  2. 2.Department of Computer Science and EngineeringThapar UniversityPatialaIndia
  3. 3.School of ComputerWuhan UniversityWuhanChina
  4. 4.Department of Computer Science and Computer EngineeringLaTrobe UniversityMelbourneAustralia
  5. 5.Department of MultimediaSangkyul UniversityAnyang-siKorea

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