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A Probabilistic Packet Filtering-Based Approach for Distributed Denial of Service Attack in Wireless Sensor Network

机译:基于概率分组过滤的无线传感器网络中服务攻击的分布式拒绝方法

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Wireless sensor networks (WSNs) are widely used networks that have lured attention of varied research fields due to their numerous ranges of applications. They have limited energy and power consumption, memory, communication, and computation capabilities. They are also distributed and randomly deployed. Due to the above-listed features, they are prone to various security threats and attacks. Distributed denial of service (DDoS) attack is one among them. These attacks aim at flooding the victim with abundant packets so as to exhaust its resources and cripple its capacity to receive desired packets and give its response accordingly. The network becomes congested and the victim becomes either unresponsive leading to denial of service or its response gets delayed. In this paper, we propose a mitigation mechanism that will curb the attempts of the attackers aiming to flood the WSN so as to cause denial of service with multitude of packets within a time span.
机译:无线传感器网络(WSNS)是广泛使用的网络由于其众多应用范围而引起了各种研究领域的关注。它们具有有限的能源和功耗,内存,通信和计算能力。它们也分布式和随机部署。由于上面列出的功能,它们易于各种安全威胁和攻击。分布式拒绝服务(DDOS)攻击是其中之一。这些攻击旨在通过丰富的数据包淹没受害者,以便耗尽其资源并抓住其接收所需数据包的能力,并相应地给出响应。网络变得拥挤,受害者无论是没有否认的服务,还是其响应延迟。在本文中,我们提出了一种缓解机制,将抑制旨在泛滥WSN的攻击者的尝试,以便在时间跨度内与众多数据包拒绝拒绝服务。

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