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Anomaly detection in geographic routing protocols

机译:地理路由协议中的异常检测

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摘要

Providing security for sensor nodes is one of the important issues in WSNs because they are deployed in the harsh environment. WSNs are distributed in nature and preparing centralized security solutions cannot be a suitable for WSNs. There are various sensor holes that may be formed in WSNs and create variations in network topologies and also threaten the upper layer applications such as sinkhole, black holes, wormholes and Sybil attack. Wormhole attack occur when two or more malicious nodes receive packets at one point of the network and transmit them to another malicious node by a wired or wireless tunnel; wormhole is carried out easily without requiring compromising sensor nodes in the network. Also, the wormhole attack may cause other type of attacks like DoS or Sybil attack. Using a cryptographic technique is not enough to prevent wormhole attack. In this study, a new scheme is proposed based on modifying the forwarding packet process, selecting the best neighbour and using hop count technique in order to prevent and detect wormhole and thus, reduce the number of untrusted packets in geographic routing protocols. Performance evaluation of the proposed scheme is done using mathematical modelling and simulation. The results are compared with some related works such as Authentication of Nodes Scheme (ANS) and Reverse Routing Scheme (RRS).
机译:为传感器节点提供安全性是WSN中的重要问题之一,因为它们部署在恶劣的环境中。 WSN本质上是分布式的,因此准备集中式安全解决方案不适用于WSN。在无线传感器网络中可能会形成各种传感器漏洞,这些漏洞会导致网络拓扑结构发生变化,并且还会威胁上层应用,例如沉孔,黑洞,蠕虫洞和Sybil攻击。当两个或多个恶意节点在网络的一个点接收数据包并通过有线或无线隧道将其传输到另一个恶意节点时,便会发生蠕虫攻击。虫洞很容易执行,而无需破坏网络中的传感器节点。此外,虫洞攻击还可能导致其他类型的攻击,例如DoS或Sybil攻击。使用加密技术不足以防止虫洞攻击。在这项研究中,基于修改转发数据包过程,选择最佳邻居并使用跳数计数技术,提出了一种新方案,以防止和检测虫洞,从而减少地理路由协议中不可信数据包的数量。该方案的性能评估是通过数学建模和仿真来完成的。将结果与一些相关工作进行了比较,例如节点认证方案(ANS)和反向路由方案(RRS)。

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