Survey on Packet Dropping Detection Techniques in Wireless Sensor Network
Survey on Packet Dropping Detection Techniques in Wireless Sensor Network |
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| © 2023 by IJETT Journal | ||
| Volume-71 Issue-6 |
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| Year of Publication : 2023 | ||
| Author : Sebastian Terence, Jude Immaculate, P. Geethanjali |
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| DOI : 10.14445/22315381/IJETT-V71I6P227 | ||
How to Cite?
Sebastian Terence, Jude Immaculate, P. Geethanjali, "Survey on Packet Dropping Detection Techniques in Wireless Sensor Network," International Journal of Engineering Trends and Technology, vol. 71, no. 6, pp. 259-273, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I6P227
Abstract
Wireless sensors network does not have a fixed data communications infrastructure. These networks are used in different situations, mainly in times of disaster, field monitoring, forest monitoring and so on. These networks are mainly used in open environments where human interactions are much lower. The open environment and its communication nature lead to various attacks on these networks. Based on the nature of the attack, we have grouped three packet-dropping attacks, namely the blackhole attack, the grayhole attack and the sinkhole attack. These three attacks use the same methodology to initiate the attack, but the results of these attacks differ. In this paper, we have studied packet-dropping attacks and analyzed solutions against these packet-dropping attacks. The main goal of the study is to present different detection strategies for packet-dropping attacks. In the study, we have examined around 70 papers, classifying these detection techniques into seven categories: sequence number detection, route request/reply-based detection, cross-layer detection, bait route request detection and acknowledgement-based detection, multi-parameter-based detection and miscellaneous detection. In this study, we found that 30% of solutions were given against multiple attacks, and less than 3% of papers attempted to detect cooperative attacks. In this study, we also observe that 40% of techniques considered energy consumption in attack detection; similarly, 35% and 30% of solutions considered false positives and false negatives in malicious attack detection. Challenges and possible work directions of malicious package-dropping techniques are also discussed.
Keywords
Packet Dropping Attacks, Grayhole Attack, Sinkhole Attack, Wireless Sensor Network, Blackhole Attack.
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