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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Cronbach Alpha Reliability Factor Based Reputation Mechanism for Mitigating Byzantine Attack in MANETs
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Cronbach Alpha Reliability Factor Based Reputation Mechanism for Mitigating Byzantine Attack in MANETs

机译:基于Cronbach Alpha可靠性因子,用于减轻武器拜占庭攻击的声誉机制

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In MANETs, co-operation is considered as a potential factor required for reliable delivery of data the mobile nodes. But, byzantine mobile nodes pose devastating influence over the degree of so-operation attributed in the network. Hence, an estimation model that assesses the co-operation through reliability factor derived from node's behavior becomes essential. This paper proposes a Cronbach Alpha Reliability Factor based Reputation Mitigation Mechanism (CARFRMM) that investigates and quantifies the impact of byzantine behavior towards the co-ordination of the network. This CARFRMM approach incorporates a distributed mitigation mechanism that manipulates reputation of each and every mobile using Cronbach Alpha Reliability Factor. This Reliability based estimation model also aids in framing a lower and upper bound for network survivability. Extensive simulations were carried out through ns-2 and the results indicates that, CARFRMM show better performance than the existing benchmark mitigation mechanisms like Cohen Kappa Reliability Coefficient based Reputation Mechanism (CKRCRM), Cooperation Of Nodes Fairness In Dynamic Ad hoc NeTworks (CONFIDANT), Packet Conservation Monitoring Algorithm (PCMA) proposed for byzantine nodes. Further, CARFRMM isolates the byzantine nodes rapidly at the rate of 28% than the considered benchmark mitigation mechanisms. Furthermore, this approach computes the mean transition time incurred by a mobile node to transit from cooperative to byzantine node as 7.89 s and also identifies the minimum and maximum byzantine behavior detection time as 120 and 160 s respectively.
机译:在船只中,合作被认为是可靠地传送数据移动节点所需的潜在因素。但是,拜占庭式移动节点对网络中所归属的所以操作程度构成破坏性影响。因此,通过从节点行为导出的可靠性因子评估合作的估计模型变得必不可少。本文提出了基于Cronbachα可靠性因素的声誉缓解机制(CARFRMM),调查和量化拜占庭行为对网络协调的影响。该CARFRMM方法包括分布式缓解机制,可以使用Cronbach alpha可靠性因子来操纵每个移动的声誉。基于可靠性的估计模型也有助于框架用于网络生存能力的下限和上限。通过NS-2进行广泛的模拟,结果表明,CARFRMM比现有的基于基于COHEN KAPPA可靠性系数的信誉机制(CKRCRM)等现有的基准缓解机制表现出更好的性能,动态临时网络中的节点公平的节点公平合作(知己),拜占庭节点提出的包保护监测算法(PCMA)。此外,CARFRMM以28%的速度与所考虑的基准缓解机制迅速分离出拜占庭节点。此外,该方法计算移动节点从协作到拜占庭节点的平均转变时间为7.89 s,并且还分别识别最小和最大拜占庭行为检测时间为120和160s。

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