DEroute: trust-aware data routing protocol based on encryption and fuzzy concept for MANET secure communication in Iot

Sunita I. Usturge, T. Kumar
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引用次数: 3

Abstract

ABSTRACT The Internet of Things in smart environments interrelates with Mobile Ad‐hoc Network and Wireless Sensor Network, which becomes more attractive and efficiently flourishing. Moreover, Mobile Ad‐hoc Network is applied in various fields including intelligent transportation, emergency communications after disaster, and Internet of Things. The incorporation of Internet of Things and Mobile Ad‐hoc Network become a rising theory for enabling opportunistic communication in Internet of Things. The security provisioning for secure communication is still the major challenge in Mobile Ad‐hoc Network – Internet of Things. Thus, in this paper, the DEroute algorithm is developed for secure communication Internet of Things structure, where Internet of Things nodes are located in mobile ad-hoc manner. In order to avoid the route list modification, nodes’ address is encrypted based on generated secret keys by Diffie–Hellman key-exchange algorithm. The fuzzy system with trust parameters, like historical, indirect and direct trust factors are considered for the identification of secure nodes. The bi-filtering process is also performed for filtering important nodes. Thus, the developed DEroute model achieved enhanced performance with respect to delay, packet delivery ratio and throughput of 0.1674 sec, 87.23% and 25.19 mbps, respectively.
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DEroute:基于加密和模糊概念的物联网MANET安全通信的信任感知数据路由协议
智能环境下的物联网与移动自组织网络和无线传感器网络相互关联,变得更具吸引力和高效地蓬勃发展。此外,移动自组网在智能交通、灾后应急通信、物联网等领域也有广泛的应用。物联网与移动自组织网络的结合成为一种新兴的物联网机会通信理论。为安全通信提供安全保障仍然是移动自组网-物联网面临的主要挑战。因此,本文针对物联网节点以移动自组网方式定位的安全通信物联网结构,开发了DEroute算法。为了避免修改路由表,节点的地址根据生成的密钥通过Diffie-Hellman密钥交换算法进行加密。考虑了具有历史信任因子、间接信任因子和直接信任因子等信任参数的模糊系统来进行安全节点的识别。双过滤过程也用于过滤重要节点。因此,开发的DEroute模型在延迟、分组传送率和吞吐量方面的性能分别提高了0.1674秒、87.23%和25.19 mbps。
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