A Trust Model Based on Swarm Intelligence Algorithms in WSNs
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Most applications of sensor nodes are in hazardous areas, inaccessible or hostile environments. Therefore, the need for security in these networks is essential. Trust methods are powerful tools for diagnosing unexpected behavior of nodes (malicious nodes or failure nodes). In this paper, we have proposed TBSI trust model whose main features are low computational overhead, low energy consumption and confronting attacks in WSNs. This model is simulated and evaluated by NS-2 simulator and its behavior has been evaluated based on the results of these simulations. Examining practical results shows that energy consumption, routing overhead, and the time of death of nodes are reduced and the rate of packet delivery to the base station is increased. These desirable outcomes prove that using the method of trust to achieve a secure network is a good solution to solve security issues in wireless sensor networks.
Keywords:
Language:
Persian
Published:
Journal of Electronic and Cyber Defense, Volume:7 Issue: 1, 2019
Pages:
1 to 10
https://www.magiran.com/p1999237
سامانه نویسندگان
مقالات دیگری از این نویسنده (گان)
-
Classification of nodes in citation graphs using graph neural networks
Hossein Hosseini *, Meysam Mirzaei, Mohammadali Javadzade
Journal of Electronic and Cyber Defense, -
Increasing the accuracy of classification of brain signals based on lower limb motor imagery by combining optimal channel selection methods and common spatial pattern
Hossein Hosseini, MohammadAli Javadzadeh, Iman Alidadi Shamsabadi
Journal of New Achievements in Electrical, Computer and Technology,