Wireless sensor network (WSN) is an integral part of Internet of Things (IoT). The sensor nodes in WSN generate large sensing data which is disseminated to intelligent servers using multiple wireless networks. This large data is prone to attacks from malicious nodes which become part of the network, and it is difficult to find these adversaries. The work in this paper presents a mechanism to detect adversaries for the IEEE 802.15.4 standard which is a central medium access protocol used in WSN-based IoT applications. The collisions and exhaustion attacks are detected based on a soft decision-based algorithm. In case the QoS of the network is compromised due to large data traffic, the proposed protocol adaptively varies the duty cycle of the IEEE 802.15.4. Simulation results show that the proposed intrusion detection and adaptive duty cycle algorithm improves the energy efficiency of a WSN with a reduced network delay.

中文翻译：

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一种面向物联网应用的新型面向 QoS 的入侵检测机制

无线传感器网络 (WSN) 是物联网 (IoT) 不可或缺的一部分。WSN 中的传感器节点生成大量传感数据，这些数据通过多个无线网络传播到智能服务器。这些大数据很容易受到成为网络一部分的恶意节点的攻击，并且很难找到这些对手。本文中的工作提出了一种机制来检测 IEEE 802.15.4 标准的对手，该标准是基于 WSN 的物联网应用程序中使用的中央媒体访问协议。基于软决策算法检测碰撞和耗尽攻击。万一网络的 QoS 由于大数据流量而受到影响，所提出的协议会自适应地改变 IEEE 802.15.4 的占空比。