Please use this identifier to cite or link to this item:
http://repository.futminna.edu.ng:8080/jspui/handle/123456789/12376
Title: | Sinkhole attack detection in a wireless sensor networks using enhanced ant colony optimization to improve detection rate |
Authors: | Nwankwo, Kenneth E. Abdulhamid, Shafi’i Muhammad |
Keywords: | ant colony optimisation telecommunication security wireless sensor networks Cyber-attack |
Issue Date: | 12-Mar-2019 |
Publisher: | Proceedings of the 2nd International Conference of the IEEE Nigeria Computer Chapter: IEEEnigComputConf'19: Ahmadu Bello University, Zaria, Nigeria |
Citation: | https://doi.org/10.1109/NigeriaComputConf45974.2019.8949642 |
Abstract: | Wireless Sensor Networks (WSN) comprises of tiny sensor nodes that are able sense and process data. Sinkhole attack occurs when an attacker node in a wireless sensor network disguises itself as the legitimate node closest to the base station, in order to have all data pass through hence having the opportunity to modify, drop or delay data going to the base station. In this conceptual framework, we propose a sinkhole detection scheme enhancing ant colony optimization to improve sinkhole detection via packet drop, packet delivery rate, energy exchange and throughput in a wireless sensor network. Initial results and expected outcome are shown and further research will also be discussed. |
URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/12376 |
Appears in Collections: | Cyber Security Science |
Files in This Item:
File | Description | Size | Format | |
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IEEE Paper v2.pdf | Sinkhole Attack Detection in A Wireless Sensor Networks using Enhanced Ant Colony Optimization to Improve Detection Rate | 1.32 MB | Adobe PDF | View/Open |
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