Misbehavior detection using machine learning in vehicular communication networks

S Gyawali, Y Qian - ICC 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
Vehicular networks are susceptible to variety of attacks such as denial of service (DoS)
attack, sybil attack and false alert generation attack. Different cryptographic methods have …

Machine learning and reputation based misbehavior detection in vehicular communication networks

S Gyawali, Y Qian, RQ Hu - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Vehicular networks are vulnerable to various attacks such as Sybil, denial-of-service (DoS)
and false alert generation attacks. Cryptographic methods can provide some protection to …

Addressing malware attacks on connected and autonomous vehicles: recent techniques and challenges

A Al-Sabaawi, K Al-Dulaimi, E Foo… - Malware Analysis Using …, 2021 - Springer
Part of the wider development and monitoring of smart environments for an intelligent cities
approach is the building of an intelligent transportation system. Such a system involves the …

Hybrid and multifaceted context-aware misbehavior detection model for vehicular ad hoc network

FA Ghaleb, MA Maarof, A Zainal, BAS Al-Rimy… - IEEE …, 2019 - ieeexplore.ieee.org
Vehicular Ad Hoc Networks (VANETs) have emerged mainly to improve road safety and
traffic efficiency and provide user comfort. The performance of such networks' applications …

Ensemble-based hybrid context-aware misbehavior detection model for vehicular ad hoc network

FA Ghaleb, MA Maarof, A Zainal, BAS Al-rimy… - Remote Sensing, 2019 - mdpi.com
Life-saving decisions in vehicular ad hoc networks (VANETs) depend on the availability of
highly accurate, up-to-date, and reliable data exchanged by neighboring vehicles. However …

Enhancing misbehavior detection in 5G vehicle-to-vehicle communications

VL Nguyen, PC Lin, RH Hwang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Next-generation advanced driver-assistance systems (ADAS) and cooperative adaptive
cruise control (CACC) for advanced/autonomous driving are expected to increasingly use …

Simulation framework for misbehavior detection in vehicular networks

J Kamel, MR Ansari, J Petit, A Kaiser… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Cooperative Intelligent Transport Systems (C-ITS) is an ongoing technology that will change
our driving experience in the near future. In such systems, vehicles and Road-Side Unit …

An enhanced multi-stage deep learning framework for detecting malicious activities from autonomous vehicles

IA Khan, N Moustafa, D Pi, W Haider… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS), particularly Autonomous Vehicles (AVs), are
susceptible to safety and security concerns that impend people's lives. Nothing like manually …

Veremi extension: A dataset for comparable evaluation of misbehavior detection in vanets

J Kamel, M Wolf, RW Van Der Hei… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Cooperative Intelligent Transport Systems (C-ITS) is a new upcoming technology that aims
at increasing road safety and reducing traffic accidents. C-ITS is based on peer-to-peer …

A systematic survey of attack detection and prevention in connected and autonomous vehicles

T Limbasiya, KZ Teng, S Chattopadhyay… - Vehicular …, 2022 - Elsevier
The number of Connected and Autonomous Vehicles (CAVs) is increasing rapidly in various
smart transportation services and applications, considering many benefits to society, people …