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Machine Learning for Security in Vehicular Networks: A Comprehensive Survey [article]

Anum Talpur, Mohan Gurusamy
2021 arXiv   pre-print
In this paper, we present a comprehensive survey of ML-based techniques for different security issues in vehicular networks.  ...  An important application domain is vehicular networks wherein ML-based approaches are found to be very useful to address various problems.  ...  Vehicular Ad Hoc Networks Cognitive Radio-based Vehicular Applications Vehicular Networks and all of its Variants ML and DL [25] 2020 Deep Reinforcement Learning for Intelligent Transportation  ... 
arXiv:2105.15035v2 fatcat:5z6aqlvosjgf3o3amts3k6toxu

Code Visualization for Performance Improvement of Java Code for Controlling Smart Traffic System in the Smart City

Bo Kyung Park, Geon-Hee Kang, Hyun Seung Son, Byungkook Jeon, R. Young Chul Kim
2020 Applied Sciences  
In an intelligent smart city like Sejong city in Korea, automatic and smart software is absolutely necessary for autonomous traffic and vehicles control systems.  ...  As a result, we enhance the code complexity of the cyber-physical system-based software to achieve the exact performance.  ...  Many researchers have proposed several clustering algorithms for VANET and MANETs (mobile ad hoc networks).  ... 
doi:10.3390/app10082880 fatcat:l7ttz7t6wbb7ppqpsjzrht6cza