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sesa 18(14): e2

Research Article

The performance analysis of public key cryptography-based authentication

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  • @ARTICLE{10.4108/eai.15-5-2018.154770,
        author={Kaiqi Xiong},
        title={The performance analysis of public key cryptography-based authentication},
        journal={EAI Endorsed Transactions on Security and Safety},
        volume={4},
        number={14},
        publisher={EAI},
        journal_a={SESA},
        year={2018},
        month={5},
        keywords={Security, Performance Evaluation, Complexity Analysis},
        doi={10.4108/eai.15-5-2018.154770}
    }
    
  • Kaiqi Xiong
    Year: 2018
    The performance analysis of public key cryptography-based authentication
    SESA
    EAI
    DOI: 10.4108/eai.15-5-2018.154770
Kaiqi Xiong1,*
  • 1: University of South Florida, Tampa, Florida 33620, USA
*Contact email: xiongk@usf.edu

Abstract

Several Kerberos-based authentication techniques using public-key cryptography have been proposed. Public-key cryptography can be used to eliminate a single point failure problem in the Key Distribution Center (KDC) and achieve better scalability. Public Key Cryptography for Cross-Realm Authentication in Kerberos (PKCROSS) and Public Key Utilizing Tickets for Application Servers (PKTAPP, a.k.a. KX.509/KCA) are considered two notable techniques. The latter was suggested to improve the former, but their actual computational and communication times have been poorly understood. This paper first presents a thorough performance evaluation of the two protocols based on analytical analysis and queueing network models. As shown, PKTAPP does not scale better than PKCROSS. Then, this paper gives a new public key cryptography-based group authentication technique. We show that the new technique can achieve better scalability than PKCORSS and PKTAPP and our performance methodology is effective.

Keywords
Security, Performance Evaluation, Complexity Analysis
Received
2018-01-12
Accepted
2018-01-16
Published
2018-05-15
Publisher
EAI
http://dx.doi.org/10.4108/eai.15-5-2018.154770

Copyright © 2018 Kaiqi Xiong, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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