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Fuzzy Trust Approach for Detecting Black Hole Attack in Mobile Adhoc Network

机译:移动自组织网络中黑洞攻击的模糊信任方法

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摘要

Wireless communication technique is crucial during inaccessible disasters, military operation and natural climate adapt. Military application required secure way of data transmission and protect data from third party. However in Mobile Adhoc Network (MANET) due to dynamic topology the nodes are prone to a variety of security attacks like modifying the data, sniffing the information, inhibited by limited energy, computational power and bandwidth. Black hole attacks are one of the possible attacks in MANET. We propose fuzzy logic strategy to detect black hole attack based on certificate authority, energy auditing, packet veracity check and trust node to improve the performance of AODV. Fuzzy schema is a mathematical logic that attempts to work out problems by assigning the prediction values to an imprecise range of data. Fuzzy logic detect misbehaving node by giving certificate to only trusted node. The proposed technique is more secure and reliable in military data communication.
机译:在无法访问的灾难,军事行动和自然气候适应期间,无线通信技术至关重要。军事应用需要安全的数据传输方式,并保护数据免受第三方攻击。但是,在移动自组织网络(MANET)中,由于动态拓扑结构,节点容易受到各种安全攻击,如修改数据,嗅探信息,受限的能量,计算能力和带宽。黑洞攻击是MANET中可能的攻击之一。我们提出了基于证书颁发机构,能量审计,数据包准确性检查和信任节点的模糊逻辑策略来检测黑洞攻击,以提高AODV的性能。模糊模式是一种数学逻辑,试图通过将预测值分配给不精确的数据范围来解决问题。模糊逻辑通过仅将证书提供给受信任的节点来检测行为异常的节点。所提出的技术在军事数据通信中更加安全可靠。

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