Intrusion detection in the automotive domain: A comprehensive review

B Lampe, W Meng - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The automotive domain has realized amazing advancements in communication,
connectivity, and automation—and at a breakneck pace. Such advancements come with …

Comprehensive review on misbehavior detection for vehicular ad hoc networks

X Xu, Y Wang, P Wang - Journal of Advanced Transportation, 2022 - Wiley Online Library
Vehicular ad hoc networks (VANETs) can increase road safety and comfort. It needs strong
demand for security because the data sent in VANETs influence vehicles' behavior. Existing …

A machine-learning-based data-centric misbehavior detection model for internet of vehicles

P Sharma, H Liu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) boosts road safety, efficiency, and infotainment by connecting
vehicles to form the Internet of Vehicles (IoV). Specifically to safety, IoV complements …

Misbehavior detection for position falsification attacks in VANETs using machine learning

S Ercan, M Ayaida, N Messai - IEEE Access, 2021 - ieeexplore.ieee.org
Cooperative Intelligent Transport Systems (C-ITS) is an advanced technology for road safety
and traffic efficiency over Vehicular Ad Hoc Networks (VANETs) allowing vehicles to …

Misbehavior-aware on-demand collaborative intrusion detection system using distributed ensemble learning for VANET

F A. Ghaleb, F Saeed, M Al-Sarem, B Ali Saleh Al-rimy… - Electronics, 2020 - mdpi.com
Vehicular ad hoc networks (VANETs) play an important role as enabling technology for
future cooperative intelligent transportation systems (CITSs). Vehicles in VANETs share real …

Intelligent intrusion detection system for VANET using machine learning and deep learning approaches

B Karthiga, D Durairaj, N Nawaz… - Wireless …, 2022 - Wiley Online Library
Detecting the attacks in Vehicular Ad hoc Network (VANET) system is very important to
provide more secure and reliable communication between all vehicles in the system. In this …

RSU-based online intrusion detection and mitigation for VANET

A Haydari, Y Yilmaz - Sensors, 2022 - mdpi.com
Secure vehicular communication is a critical factor for secure traffic management. Effective
security in intelligent transportation systems (ITS) requires effective and timely intrusion …

MDFD: A multi-source data fusion detection framework for Sybil attack detection in VANETs

Y Chen, Y Lai, Z Zhang, H Li, Y Wang - Computer Networks, 2023 - Elsevier
Abstract Sybil attacks in Vehicular Ad-Hoc Networks (VANETs) conduct malicious behavior
by falsifying and faking messages between vehicles. It poses a significant threat to the safety …

Redundancy coefficient gradual up-weighting-based mutual information feature selection technique for crypto-ransomware early detection

BAS Al-Rimy, MA Maarof, M Alazab, SZM Shaid… - Future Generation …, 2021 - Elsevier
Crypto-ransomware is a type of malware whose effect is irreversible even after detection and
removal. Thus, early detection is crucial to protect user files from being encrypted and held …

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 …