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Detection of Misbehaviors Nodes in Wireless Network with Help of Pool Manager

机译:在池管理器的帮助下检测无线网络中的不当行为节点

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As in recent time, wireless networks were developed in various extreme ends but then also facing from the problem of malicious nodes in the network. In this case, networks drop the packets at the receiver side and create various routing attacks. By the help of Dijkstra's algorithm, network can escape from the problem of dropping packets. In that, nodes can calculate shortest path on the basis of Fuzzy logic. Biggest downsides of existing propose are that it is unable to handle occurring of blackhole and grayhole in the network and nodes can easily befool with each other. To avoid occurring of attacks, network can use a scheme in which it creates pool manager at the starting of communication by which load of the nodes get reduces and routing attacks can easily detect. And at the time of further communication, that node is banned and does not engage for delivery packets from source to destination. By ejection of malicious nodes from the network with the help of pool manager that can iterative more established data by comparing hash function.
机译:据近时,无线网络在各种极端结束中开发,但随后也面临网络中恶意节点的问题。在这种情况下,网络将数据包放在接收器侧并创建各种路由攻击。通过Dijkstra的算法,网络可以从丢弃数据包的问题逃脱。在此,节点可以根据模糊逻辑计算最短路径。现有提议的最大缺水是它无法处理网络中的黑洞和灰色孔,节点可以轻松互相脱颖而出。为了避免发生攻击,网络可以使用它在通信开始时在开始的过程中创建池管理器的方案,通过该节点的负载降低和路由攻击可以容易地检测。在进一步通信时,该节点被禁止,并且不会从源到目的地的递送数据包。通过池管理器的帮助从网络中弹出恶意节点,通过比较散列函数可以迭代更多建立的数据。

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