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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 3, 2021.
Abstract: Wireless sensor networks have been widely applied in many areas due to their unique characteristics. These have exposed them to different types of active and passive attacks. In the literature, several solutions have been proposed to mitigate these attacks. Most of the proposed solutions are too complex to be implemented in wireless sensor networks considering the resource-constraint of sensor nodes. In this work, we proposed a hierarchical trust mechanism based on clustering approach to detect and prevent denial of service attacks in wireless sensor networks. The approach was validated through simulation using Network Simulator (NS2). The following metrics were used to evaluation the proposed scheme: packet delivery ratio, network lifetime, routing delay, overhead, and number of nodes. The proposed approach is capable of detecting compromised sensor nodes vulnerable to a denial of service attacks. Moreover, it is able to detect all sensed data that have been compromised during transmission to the base station. The results show that our method can effectively detect and defend against denial of service attacks in sensor wireless sensor networks.
Boniface Kabaso, Saber A. Aradeh and Ademola P. Abidoye, “Attack Resilient Trust and Signature-based Intrusion Detection Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 12(3), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120381
@article{Kabaso2021,
title = {Attack Resilient Trust and Signature-based Intrusion Detection Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120381},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120381},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {3},
author = {Boniface Kabaso and Saber A. Aradeh and Ademola P. Abidoye}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.