Machine learning models for secure data analytics: A taxonomy and threat model

R Gupta, S Tanwar, S Tyagi, N Kumar - Computer Communications, 2020 - Elsevier
In recent years, rapid technological advancements in smart devices and their usage in a
wide range of applications exponentially increases the data generated from these devices …

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 …

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 …

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 …

[HTML][HTML] Collaborative learning based sybil attack detection in vehicular ad-hoc networks (vanets)

S Azam, M Bibi, R Riaz, SS Rizvi, SJ Kwon - Sensors, 2022 - mdpi.com
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 …

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 …

A survey on misbehavior detection for connected and autonomous vehicles

ML Bouchouia, H Labiod, O Jelassi… - Vehicular …, 2023 - Elsevier
Connected and autonomous vehicles have recently emerged as promising technological
solutions to optimize traffic congestion, prevent accidents, and enhance driving safety and …

An intelligent data-driven model to secure intravehicle communications based on machine learning

M Al-Saud, AM Eltamaly, MA Mohamed… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The high relying of electric vehicles on either in-vehicle or between-vehicle communications
can cause big issues in the system. This paper is going to mainly address the cyberattack in …

A macroscopic traffic model-based approach for sybil attack detection in vanets

M Ayaida, N Messai, S Najeh, KB Ndjore - Ad Hoc Networks, 2019 - Elsevier
Abstract Vehicular Ad Hoc Networks (VANETs) are expected to play an important role in our
lives. They will improve traffic safety and bring a revolution on the driving experience …

A study to enhance the route optimization algorithm for the internet of vehicle

R Dhanare, KK Nagwanshi… - … and Mobile Computing, 2022 - Wiley Online Library
In the Internet of Things (IoT), the advancement of the new modern era of Internet‐off driving,
known as the Internet of Vehicles (IoV), is aimed at the Intelligent Transportation System …