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A systematic review of routing attacks detection in wireless sensor networks
Zainab Alansari1,2, Nor Badrul Anuar1, Amirrudin Kamsin1
1Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.
Peerj. Computer Science
|November 25, 2022
Summary
This study systematically reviews detection techniques for routing attacks in wireless sensor networks (WSNs) to improve Quality of Service (QoS). It provides a taxonomy of methods to combat threats like wormhole and blackhole attacks, enhancing network security.
Area of Science:
- Computer Science
- Network Security
- Internet of Things (IoT)
Background:
- Wireless Sensor Networks (WSNs) are crucial IoT devices for various industries.
- Ensuring data integrity and security in WSNs against diverse attacks is paramount.
- Existing literature lacks systematic reviews on detecting WSN routing attacks.
Purpose of the Study:
- To systematically review and categorize current and emerging techniques for detecting routing attacks in WSNs.
- To enhance the understanding of Quality of Service (QoS) improvements through effective attack detection.
- To provide a comprehensive resource for researchers in WSN security.
Main Methods:
- A systematic literature review was conducted using the PRISMA flow diagram.
- 87 articles published between 2016 and 2022 were analyzed.
- The review focused on eight specific routing attacks: wormhole, sybil, Grayhole/selective forwarding, blackhole, sinkhole, replay, spoofing, and hello flood.
Main Results:
- A taxonomy of WSN routing attack detection techniques was developed.
- An evaluation of common metrics and criteria used for performance assessment was included.
- Identified gaps in the current research landscape of WSN routing attack detection.
Conclusions:
- The study provides a structured overview of WSN routing attack detection methods.
- It highlights the importance of systematic reviews for advancing network security.
- Offers a valuable reference for researchers aiming to address security vulnerabilities in WSNs.
