A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks
A Boualouache, T Engel - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
Machine learning for security in vehicular networks: A comprehensive survey
A Talpur, M Gurusamy - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Machine Learning (ML) has emerged as an attractive and viable technique to provide
effective solutions for a wide range of application domains. An important application domain …
effective solutions for a wide range of application domains. An important application domain …
Perception layer security in Internet of Things
Abstract Internet of Things (IoT) is one of the rising innovations of the current era that has
largely attracted both the industry and the academia. Life without the IoT is entirely …
largely attracted both the industry and the academia. Life without the IoT is entirely …
Machine-learning-assisted security and privacy provisioning for edge computing: A survey
S Singh, R Sulthana, T Shewale… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Edge computing (EC), is a technological game changer that has the ability to connect
millions of sensors and provide services at the device end. The broad vision of EC integrates …
millions of sensors and provide services at the device end. The broad vision of EC integrates …
A framework for partitioning and execution of data stream applications in mobile cloud computing
The contribution of cloud computing and mobile computing technologies lead to the newly
emerging mobile cloud computing paradigm. Three major approaches have been proposed …
emerging mobile cloud computing paradigm. Three major approaches have been proposed …
Deep learning-based reliable routing attack detection mechanism for industrial Internet of Things
An enormous amount of data processing occurs at the cloud and edge to carry out different
kinds of analytics in Industrial Internet of Things (IIoT). To deal with the analytics using such …
kinds of analytics in Industrial Internet of Things (IIoT). To deal with the analytics using such …
[HTML][HTML] Collaborative learning based sybil attack detection in vehicular ad-hoc networks (vanets)
Vehicular Ad-hoc network (VANET) is an imminent technology having both exciting
prospects and substantial challenges, especially in terms of security. Due to its distributed …
prospects and substantial challenges, especially in terms of security. Due to its distributed …
Deep learning application in smart cities: recent development, taxonomy, challenges and research prospects
The purpose of smart city is to enhance the optimal utilization of scarce resources and
improve the resident's quality of live. The smart cities employed Internet of Things (IoT) to …
improve the resident's quality of live. The smart cities employed Internet of Things (IoT) to …
Artificial Intelligence techniques to mitigate cyber-attacks within vehicular networks: Survey
A Haddaji, S Ayed, LC Fourati - Computers and Electrical Engineering, 2022 - Elsevier
Rapid advancements in communication technology have made vehicular networks a reality
with numerous applications. However, vehicular network security is still an open research …
with numerous applications. However, vehicular network security is still an open research …
A survey on misbehavior detection for connected and autonomous vehicles
Connected and autonomous vehicles have recently emerged as promising technological
solutions to optimize traffic congestion, prevent accidents, and enhance driving safety and …
solutions to optimize traffic congestion, prevent accidents, and enhance driving safety and …