Journal of Computer Science

OPTIMIZING BATCH REKEYING INTERVAL FOR SECURE GROUP COMMUNICATION BASED ON QUEUING MODEL

A. Vasanthi and T. Purusothaman

DOI : 10.3844/jcssp.2014.325.329

Journal of Computer Science

Volume 10, Issue 2

Pages 325-329

Abstract

Rapid growth of Internet spawns many group oriented multicast applications like Internet pay TV, news dissemination and stock quote system. The fortes of these applications are the support of dynamic, scalable group membership and group members are geographically divergent. As members of the group move in and out, an imperative cryptographic rekeying model should be applied to preserve the confidentiality of the group. A symmetric key called as session key is employed to defend the group communication data during transit. Forward and backward secrecy is attained by updating the session key for every change in group membership. Depends on the application immediate rekeying or batch rekeying can be used employed. The problem with the batch rekeying algorithm is to determine the pertinent batch size and the optimal time for rekeying process. The main aim is to propose a mathematical model based on queuing theory principles by considering the request for rekeying as Poisson process, rekeying service as an exponential distribution. The performance of the proposed model is analyzed using Java based simulator. By varying the arrival rate and rekeying service rate the optimal batch size can be attained. The optimal rekeying interval improves the performance of the group when the group membership grows dynamically. Reduces the long waiting time of the rekeying requests and find the best batch size for the rekeying. Proposed mathematical model analyses the various control parameters for batch rekeying and locates the best values for the batch size and interval time using the M/M/1/K model queues.

Copyright

© 2014 A. Vasanthi and T. Purusothaman. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.