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Lightweight Detection and Isolation of Black Hole Attacks in Connected Vehicles

机译:轻量级检测和孤立的黑洞攻击在连接的车辆中

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Connected Vehicles (CVs) can be exposed to black hole attacks that deceive legitimate nodes by falsifying an attractive route to a destination node. This occurs when an attacker sends a packet to the source node confirming the existence of a fresh route. In this paper, we propose a Black Hole Detection Protocol (BlackDP) that works on a highway divided into clusters and monitored by Road Side Units (RSUs) to detect both single and cooperative black hole attacks. Every RSU is tasked with performing both detection and isolation of black hole attacks for their respective highway section after authentication violations and suspicious route establishment activities that have been reported by a legitimate node. The design goal of BlackDP is to decouple the detection process from mobile nodes and construct a trusted semi-centric detection process that can collect needed information for lightweight detection and reliable isolation of malicious nodes. We validate BlackDP in a simulated highway environment to demonstrate its effectiveness.
机译:通过伪造到目的节点的有吸引力路由,可以通过伪造具有欺骗合法节点的黑洞攻击来暴露于黑洞攻击的车辆(CVS)。当攻击者向源节点发送数据节点时,会发生这种情况,确认存在新路线。在本文中,我们提出了一种黑洞检测协议(BlackDP),该协议(Blackdp)在分为群集的高速公路上工作,并由道路侧单元(RSU)监测,以检测单一和合作的黑洞攻击。在认证违规和可疑路由建立活动之后,每个RSU都是针对其各自的高速公路攻击的检测和隔离,在违反合法节点报告的违规和可疑的路由建立活动之后。 BlackDP的设计目标是从移动节点解耦检测过程,并构建可信的半中心检测过程,可以收集用于轻量级检测的所需信息,可靠地隔离恶意节点。我们在模拟高速公路环境中验证了BlackDP,以展示其有效性。

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