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

机译:Genetic-IDGKA:大型MANET的基于遗传ID的组密钥协商协议

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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.
机译:有关移动自组织网络(MANET)的密钥管理方案的研究工作正吸引着越来越多的研究人员关注。在MANET中证明安全通信是一项极具挑战性的工作,因为它本质上是动态的并且缺乏集中管理。为了解决这些问题,一些研究人员提出了密钥管理方案。在这项工作中,我们确定并深入研究了三种流行的密钥管理方案,即i。基于ID的多秘密密钥管理方案ii。基于RSA证书的密码学和iii。基于ID的身份验证组密钥协商协议。我们提出了一个有效的遗传模型,可以从密钥初始化,选择随机数生成器,密钥更新定时,数据包大小,计算未来会话密钥和会话组密钥以及形成动态聚类组等方面优化密钥管理方案的性能。提出的遗传模型已成功用VC ++实现,并与上述密钥管理方案集成。从我们的实验结果中,我们发现与常规密钥管理方案相比,基于遗传模型的密钥管理方案具有更高的安全级别,特别是基于遗传ID的认证组密钥协议协议在以下方面优于所有其他两个已确定的密钥管理方案:移动鲁棒性,计算和消息开销,安全性,密钥交换时间,功耗和密钥更新时间。

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