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首页> 外文期刊>Research journal of applied science, engineering and technology >An Improved Role Based Trust Management System using Interactive Artificial Bee Colony (I-ABC) Algorithm for Wireless Sensor Networks
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An Improved Role Based Trust Management System using Interactive Artificial Bee Colony (I-ABC) Algorithm for Wireless Sensor Networks

机译：无线传感器网络中基于交互式人工蜂群算法的基于角色的改进信任管理系统

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The aim of this research study is to propose an improved role based trust management system for wireless sensor networks. The objective is attained using an interactive artificial bee colony algorithm which is used for path optimization. Also the purpose is to guarantee to provide robust and trustworthiness among the clusters formed in the wireless sensor network. The reputation among the sensor nodes is assured using the trust model. One of the main concerns of WSN, that have attracted research scholars, is the property to guarantee a less amount of security in a limited environment. Trust among the communicative nodes is one of the major issues that have to be given importance in wireless sensor network. A number of research works have concentrated on only Trust Management (TM) techniques without considering their roles. Existing trust management schemes do not provide significant reliability in all environments. In order to overcome these issues, Role Trust (RT) framework is presented, to select role for each nodes representing policies in a distributed authorized environment. RT integrates the features of role-based access control and TM schemes. This feature is particularly applicable for attribute based access control. Role trust management schemes generate rules, identify and assure roles based on the rules generation process and then clusters are identified for each trust model. Along with the trust model, this study focuses on efficient data path with reduced data loss. Hence, this study presents a novel Swarm Intelligence based Role Trust and Reputation Model (SIRTRM) to provide trust and reputation in WSNs. Simulations are carried out in NS2 environment and the results portrays the accuracy, robustness and lightness of the proposed model.
机译：这项研究的目的是为无线传感器网络提出一种改进的基于角色的信任管理系统。使用交互式人工蜂群算法实现目标，该算法用于路径优化。同样，目的是保证在无线传感器网络中形成的集群之间提供鲁棒性和可信赖性。使用信任模型可以确保传感器节点之间的信誉。 WSN的主要关注之一已吸引了研究学者，其特性是在有限的环境中保证较少的安全性。通信节点之间的信任是无线传感器网络中必须给予重视的主要问题之一。许多研究工作仅关注信任管理（TM）技术，而没有考虑其作用。现有的信任管理方案并未在所有环境中提供显着的可靠性。为了克服这些问题，提出了角色信任（RT）框架，以便为代表分布式授权环境中策略的每个节点选择角色。 RT集成了基于角色的访问控制和TM方案的功能。此功能特别适用于基于属性的访问控制。角色信任管理方案生成规则，根据规则生成过程识别和确保角色，然后为每个信任模型标识群集。与信任模型一起，本研究关注于减少数据丢失的有效数据路径。因此，本研究提出了一种新颖的基于群体智能的角色信任和声誉模型（SIRTRM），以在WSN中提供信任和声誉。在NS2环境中进行了仿真，结果表明了所提出模型的准确性，鲁棒性和轻巧性。

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