| Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01181 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/e3sconf/202339101181 | |
| Published online | 05 June 2023 | |
Capacity trust assessment for multi-hop routing in wireless sensor networks
1 ECE Department, Santhiram Engineering College, Nandyal, Andhra Pradesh INDIA
2 ECE Department, RGM College of Engineering and Technology, Nandyal, Andhra Pradesh INDIA
3 Computer Technical Engineering Department, College of Technical Engineering, The Islamic University, Najaf, Iraq
* Corresponding author: Sowmya.ece@srecnandyal.edu.in
This paper proposed a newIntrusion Detection mechanism based on Multiple Trust Attributes in Wireless Sensor Networks (WSNs). Mainly this work concentrated to assess the trust in ems of capacities of the sensor nodes. The capacity of a node is formulated based on two trusts namely Fault Tolerance Trust and Stability Trust. Every SN checks the trustworthiness of its neighbour SNs based on the Capacity Trust and confirms their trustworthiness. If any node is discovered as malicious, such type of node is called as intrusion or outlier and isolated from network.Extensive Simulations are conducted over the proposed intrusion detection mechanism and the performance is evaluated through Malicious Detection Rate, and False Positive Rate.
Key words: Intrusion Detection / Capacity Trust / Stability Trust / Malicious Detection Rate
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.