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首页> 外文期刊>American journal of applied sciences >Mobile Anonymous Trust Based Routing using Ant Colony Optimization
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Mobile Anonymous Trust Based Routing using Ant Colony Optimization

机译：使用蚁群优化的基于移动匿名信任的路由

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Aproach: Problem statement: Ad hoc networks are susceptible to malicious attacks through denial of services, traffic analysis and spoofing. The security of the ad hoc routing protocol depends upon encryption, authentication, anonymity and trust factors. End-to-end security of data is provided by encryption and authentication, topology information of the nodes can be obtained by studying traffic and routing data. This security problem of ad hoc network is addressed by the use of anonymity mechanisms and trust levels. Identification information like traffic flow, network topology, paths from malicious attackers is hidden in anonymous networks. Similarly, trust plays a very important role in the intermediate node selection in ad hoc networks. Trust is essential as selfish and malicious nodes not only pose a security issue but also decreases the Quality of Service. Approach: In this study, a routing to address anonymous routing with a trust which improves the overall security of the ad hoc network was proposed. A new approach for an on demand ad-hoc routing algorithm, which was based on swarm intelligence. Ant colony algorithms were a subset of swarm intelligence and considered the ability of simple ants to solve complex problems by cooperation. The interesting point was, that the ants do not need any direct communication for the solution process, instead they communicate by stigmergy. The notion of stigmergy means the indirect communication of individuals through modifying their environment. Several algorithms which were based on ant colony problems were introduced in recent years to solve different problems, e.g., optimization problems. Results and Conclusion: It is observed that the overall security in the network improves when the trust factor is considered. It is seen that non performing nodes are not considered due to the proposed ACO technique.
机译：方式：问题陈述：Ad hoc网络容易受到拒绝服务，流量分析和欺骗的恶意攻击。自组织路由协议的安全性取决于加密，身份验证，匿名性和信任因素。数据的端到端安全性通过加密和身份验证提供，可以通过研究流量和路由数据来获取节点的拓扑信息。通过使用匿名机制和信任级别可以解决ad hoc网络的安全问题。诸如流量，网络拓扑，来自恶意攻击者的路径之类的识别信息隐藏在匿名网络中。同样，信任在ad hoc网络的中间节点选择中起着非常重要的作用。信任至关重要，因为自私和恶意节点不仅会带来安全问题，还会降低服务质量。方法：在这项研究中，提出了一种路由，以信任方式解决匿名路由问题，从而提高了自组织网络的整体安全性。一种基于群体智能的按需临时路由算法的新方法。蚁群算法是群智能的子集，并考虑了简单蚂蚁通过合作解决复杂问题的能力。有趣的一点是，蚂蚁在解决过程中不需要任何直接的沟通，而是通过斯蒂格曼（stigmergy）进行沟通。耻辱感是指通过改变环境来进行个体之间的间接交流。近年来引入了几种基于蚁群问题的算法来解决不同的问题，例如优化问题。结果与结论：观察到信任因素，可以提高网络的整体安全性。可以看出，由于提出了ACO技术，未考虑到性能不佳的节点。

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