Genetic-IDGKA: Genetic ID-Based Group Key Agreement Protocol for Large MANETs

Abstract

The Research works on Key Management Schemes in Mobile Ad-Hoc Networks (MANETs) are attracting more and more attention to Researchers. Proving secured communication in MANET is extremely challenging one as it is dynamic in nature and the lack of centralized management. To address these issues, several researchers have proposed Key Management Schemes. In this work, we have identified and thoroughly studied three popular Key Management Schemes namely i. ID-based Multiple Secrets Key Management Scheme ii. RSA Certificate-Based Cryptography and iii. ID-Based Authenticated Group Key Agreement Protocol. We have proposed an efficient Genetic Model to optimize the performances of Key Management Schemes in terms of Key Initialization, Selecting Random Number Generator, Key Updation Timing, Packet Size, Computing Future Session Key and Session Group Key and forming Dynamic Clustering Group. The proposed Genetic Model was successfully implemented with VC++ and integrated with the above mentioned Key Management Schemes. From our experimental results, we revealed that the Genetic Model Based Key Management Schemes achieving higher security level as compared with ordinary Key Management Schemes, particularly the Genetic ID-Based Authenticated Group Key Agreement Protocol outperforms all the other two identified Key management Schemes in terms of Mobility Robustness, Computational and Message Overhead, Strength of Security, Key Exchange Time, Power Consumption and Key Update Time.