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arXiv 1608.05830cs.NI
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DEBH:移动Ad Hoc网络中黑洞的检测与消除

DEBH: Detection and Elimination Black Holes in Mobile Ad Hoc Network

Ali Dorri, Soroush Vaseghi, Omid Gharib

摘要:

移动自组织网络(MANET)具有逐跳通信、动态拓扑、开放网络边界等特点,其安全性是其面临的主要挑战之一,受到学者们的广泛关注。由于移动自组网的特殊性,传统的安全措施已不适用于移动自组网。本文提出了一种新的方法,称为检测和消除黑洞(DEBH),使用一个数据控制包和一个额外的黑洞检查(BCh)表检测和消除恶意节点。该方法利用可信节点的特性,随着时间的推移,处理开销逐渐减小.在本设计中,采用了按需距离矢量(AODV)路由协议作为路由协议。在使用AODV找到最新路径后,对所选路径进行安全性检查,一旦发现恶意节点,通过广播包含恶意节点ID的数据包将其与整个网络隔离。仿真结果表明,与其他研究方法相比,DEBH提高了网络吞吐量,降低了数据包开销和延迟。此外,DEBH是能够检测所有活跃的恶意节点产生的故障路由信息。

英文摘要:

Security in Mobile Ad hoc Network (MANET) is one of the key challenges due to its special features e.g. hop-by-hop communications, dynamic topology, and open network boundary that received tremendous attention by scholars. Traditional security methods are not applicable in MANET due to its special properties. In this paper, a novel approach called Detecting and Eliminating Black Holes (DEBH) is proposed that uses a data control packet and an additional Black hole Check (BCh) table for detecting and eliminating malicious nodes. Benefiting from trustable nodes, the processing overhead of the security method decreases by passing time. Ad hoc On-demand Distance Vector (AODV) routing protocol is used as the routing protocol in our design. After finding the freshest path using AODV, our design checks the safety of selected path. In case of detecting any malicious node, it is isolated from the entire network by broadcasting a packet that contains the ID of malicious nodes. Simulation results show that DEBH increases network throughput and decreases packet overhead and delay in comparison with other studied approaches. Moreover, DEBH is able to detect all active malicious nodes which generates fault routing information.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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