Abstract

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.

Highlights

  • Internet of Things (IoT) applications use wireless sensor networks (WSNs) to implement several applications in the fields of healthcare, military, environmental monitoring, smart cities, agricultural engineering, etc

  • If QoS is compromised only due to low throughput, the algorithm allows the coordinator to adjust the duty cycle as follows: (i) If the difference between beacon order (BO) and superframe order (SO) is more than 1 and SO is greater than 0, the BO and SO’s parameter value will be reduced in the beacon interval (BI). This decreases the active duration that allows nodes to send their data in less time, resulting in increased throughput (ii) In case the difference between BO and SO is greater than 1, SO is 0, BO will be reduced without any change in SO

  • The probability of successful transmission is maximum, and the probability of collision is 0. The sum of both probabilities is less than the threshold, and no collision detection is found in this case

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Summary

A Novel QoS-Oriented Intrusion Detection Mechanism for IoT Applications

Abdulfattah Noorwali ,1 Ahmad Naseem Alvi ,2 Mohammad Zubair Khan ,3 Muhammad Awais Javed ,2 Wadii Boulila ,4 and Priyadarshini A. 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. 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

Introduction
Proposed Scheme
Analysis and Results
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