Machine Learning based intrusion detection systems for connected autonomous vehicles: A survey
J Nagarajan, P Mansourian, MA Shahid… - Peer-to-Peer Networking …, 2023 - Springer
Abstract Connected and Autonomous Vehicles (CAVs) expect to dramatically improve road
safety and efficiency of the transportation system. However, CAVs can be vulnerable to …
safety and efficiency of the transportation system. However, CAVs can be vulnerable to …
Optimization of RBF-SVM kernel using grid search algorithm for DDoS attack detection in SDN-based VANET
The dynamic nature of the vehicular space exposes it to distributed malicious attacks
irrespective of the integration of enabling technologies. The software-defined network (SDN) …
irrespective of the integration of enabling technologies. The software-defined network (SDN) …
RBF-SVM kernel-based model for detecting DDoS attacks in SDN integrated vehicular network
The development of the intelligent transport space (ITS) comes with the challenge of
securing transportation data. As the vehicular network is highly dynamic, the network …
securing transportation data. As the vehicular network is highly dynamic, the network …
FSCB-IDS: Feature selection and minority class balancing for attacks detection in VANETS
Vehicular ad hoc networks (VANETs) are used for vehicle to vehicle (V2V) and vehicle to
infrastructure (V2I) communications. They are a special type of mobile ad hoc networks …
infrastructure (V2I) communications. They are a special type of mobile ad hoc networks …
A comparative review of security threats datasets for vehicular networks
With the rapid growth of vehicular technology, Vehicle-to-everything (V2X) communication
systems are becoming increasingly challenging, especially regarding security aspects …
systems are becoming increasingly challenging, especially regarding security aspects …
Falsification detection system for IoV using randomized search optimization ensemble algorithm
Falsification detection is a critical advance in ensuring that real-time information about
vehicles and their movement states is certified on the Internet of Vehicles (IoV). Thus …
vehicles and their movement states is certified on the Internet of Vehicles (IoV). Thus …
A novel framework for detection and prevention of denial of service attacks on autonomous vehicles using fuzzy logic
Every year, millions of people lose their lives due to road accidents, and countless others
suffer from severe injuries. Moreover, these accidents cause economic losses worldwide …
suffer from severe injuries. Moreover, these accidents cause economic losses worldwide …
Malicious node detection in vehicular ad-hoc network (vanet) using enhanced beacon trust management with clustering protocol (ebtm-cp)
Vehicular ad hoc networks (VANETs) are susceptible to information threat, wherein an
aggressor aims to pose duplicate information or reprise the present information. Every …
aggressor aims to pose duplicate information or reprise the present information. Every …
Systematic evaluation of automotive intrusion detection datasets
A Vahidi, T Rosenstatter, NI Mowla - … of the 6th ACM Computer Science …, 2022 - dl.acm.org
Some current and next generation security solutions employ machine learning and related
technologies. Due to the nature of these applications, correct use of machine learning can …
technologies. Due to the nature of these applications, correct use of machine learning can …
[PDF][PDF] Optimized ad-hoc multi-hop broadcast protocol for emergency message dissemination in vehicular ad-hoc networks
SI Boucetta, ZC Johanyák - Acta Polytechnica Hungarica, 2022 - acta.uni-obuda.hu
Intelligent Transportation Systems and particularly vehicular adhoc networks (VANETs) play
a key role in enabling Smart Cities as well as improving and maintaining road safety …
a key role in enabling Smart Cities as well as improving and maintaining road safety …