0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
SCDS: A Secure Clustering Protocol Using Dempster-Shafer Theory for VANET in Smart City
Authors :
Hoda Mosadegh
1
Nazbanoo Farzaneh
2
1- Imam Reza International University
2- Imam Reza International University
Keywords :
Internet of Things, Smart city, Vehicular ad hoc network (VANETs), Secure clustering, malicious cluster head, Dempster-Shafer theory
Abstract :
Vehicular Ad hoc Network (VANET) is a promising solution for the smart transportation system in the smart city of the future. Vehicular ad hoc networks significantly reduce accidents. Due to the characteristics of Vehicular ad hoc networks such as self-organization, frequent disconnection and rapid topology changes, the development of efficient routing protocols is a challenging task. Clustering is a good approach to solve these problems. But if in the network, one cluster head becomes a malicious node, then the network will not be able to detect errors and recover. A malicious cluster head can change network configuration to perform attacks such as sinkhole, black holes, or selective repeat. These attacks represent a common feature, a malicious node trying to become a cluster head to behave maliciously. In the proposed method, observations about each cluster head are received indefinitely and probabilistically, and then by combining these comments using the rules of Dempster-Shafer theory combination, a definite conclusion is reached about whether a cluster head is malicious or not. The results also show that not every node that requests to be cluster head more than once is always malicious.
Papers List
List of archived papers
Fast and Accurate Motif Discovery in Protein Sequences Using Parallel Processing with OpenMP
Rahele Mohammadi - Mahmoud Naghibzadeh - Abdorreza Savadi
The process of multi class fake news dataset generation
Sajjad Rezaei - Mohsen Kahani - Behshid Behkamal
No-Reference Video Quality Assessment by Deep Feature Maps Relations
Amir Hossein Bakhtiari - Azadeh Mansouri
Towards Efficient Capsule Networks through Approximate Squash Function and Layer-wise Quantization
Mohsen Raji - Kimia Soroush - Amir Ghazizadeh
Graph Representation Learning Towards Patents Network Analysis
Mohammad Heydari - Babak Teimourpour
Emotion Recognition In Persian Speech Using Deep Neural Networks
Ali Yazdani - Hossein Simchi - Yasser Shekofteh
I-ACS: An Improved Ant Colony System to Solve the Time-Dependent Orienteering Problem
Zahra Bakhshandeh - Morteza Keshtkaran
Enhanced Autoencoder-based Clustering for Message Analysis in Binary Protocols
Mohaddese Nemati - Shiva Mahmoudzadeh - Mehdi Teimouri
Automated software design using Machine Learning With Natural Language Processing
Fahimeh Khedmatkon - Seyed Mohammad Hossein Hasheminejad - Jaleh Shoshtarian Malak
Mitochondrial Segmentation in Microscopy Images Using UNet-VGG19
Zerek Sediq Hossein - Rojiar Pir Mohammadiani - Saadat Izadi
more
Samin Hamayesh - Version 42.4.1