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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electrical Engineering and Computer Science
Behnam Farzaneh
Isfahan University of Technology
Computer Science & IT Electrical & Electronics Engineering

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A distributed trust mechanism for malicious behaviors in VANETs Ali Kamil Ahmed; Mohanad Najm Abdulwahed; Behnam Farzaneh
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i3.pp1147-1155

Abstract

Vehicular ad-hoc networks (VANETs) are one of the most important types of networks which are widely used in recent years. Along with all the benefits of quality of service (QoS) improvements, vulnerability analysis for this type of networks is an important issue. For instance, a gray-hole attack decreases network performance. We proposed a novel solution to help to secure these networks against this vulnerability. The proposed method can detect and prevent the gray-hole attack. Anywhere in the network, each node (vehicle) can distinguish between the gray-hole attack and the failed link. Some topology related information helps us to detect attacks more accurately. Also, the proposed method uses the most reliable path in terms of link failure when there is no malicious node. In this paper, we used the TOPSIS method for choosing the most trusted node for routing intelligently. We validated our proposal using a simulation model in the NS-2 simulator. Simulation results show that the proposed method can prevent Gray-hole attack efficiently with low overhead.
TFUZZY-OF: a new method for routing protocol for low-power and lossy networks load balancing using multi-criteria decision-making Ali Kamil Ahmed; Behnam Farzaneh; Elahe Boochanpour; Emad Alizadeh; Shahin Farzaneh
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 3: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i3.pp3474-3483

Abstract

The internet of things (IoT) based on a network layer perspective includes low-power and lossy networks (LLN) that are limited in terms of power consumption, memory, and energy usage. The routing protocol used in these networks is called routing over low-power and lossy networks (RPL). Therefore, the IoT networks include smart objects that need multiple routing for their interconnections which makes traffic load balancing techniques indispensable to RPL routing protocol. In this paper, we propose a method based on fuzzy logic and the technique for the order of prioritization by similarity to the ideal solution (TOPSIS) as a well-known multi-criteria decision-making method to solve the load balancing problem by routing metrics composition. For this purpose, a combination of both link and node routing metrics namely hop count, expected transmission count, and received signal strength indicator is used. The results of simulations show that this method can increase the quality of services in terms of packet delivery ratio and average end-to-end delay.
Co-Authors Ali Kamil Ahmed Elahe Boochanpour Emad Alizadeh Mohanad Najm Abdulwahed Shahin Farzaneh