A hybrid machine learning model for intrusion detection in VANET
Abstract While Vehicular Ad-hoc Network (VANET) is developed to enable effective vehicle
communication and traffic information exchange, VANET is also vulnerable to different …
communication and traffic information exchange, VANET is also vulnerable to different …
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 …
Sad-iot: Security analysis of ddos attacks in iot networks
P Kumar, H Bagga, BS Netam… - Wireless Personal …, 2022 - Springer
Internet of Things is one of the most versatile technologies in existence today. It has taken
over our day to day activities and thus has many applications that are designed to make life …
over our day to day activities and thus has many applications that are designed to make life …
Investigation of Security Threat Datasets for Intra-and Inter-Vehicular Environments
A Haddaji, S Ayed, L Chaari Fourati… - Sensors, 2024 - mdpi.com
Vehicular networks have become a critical component of modern transportation systems by
facilitating communication between vehicles and infrastructure. Nonetheless, the security of …
facilitating communication between vehicles and infrastructure. Nonetheless, the security of …
A deep learning approach to detection and mitigation of distributed denial of service attacks in high availability intelligent transport systems
In the era of Internet of Things (IoT) powered by 5G technologies, Automobile Industry is
headed towards a revolution. In Intelligent Transport Systems (ITS), vehicles act as …
headed towards a revolution. In Intelligent Transport Systems (ITS), vehicles act as …
Flow-based intrusion detection system in vehicular ad hoc network using context-aware feature extraction
Autonomous transportation systems have an immense impact on the way of our day-to-day
commute or traveling. Connectedness is an inseparable part of these systems, and it is …
commute or traveling. Connectedness is an inseparable part of these systems, and it is …
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 …
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV
A Boualouache… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is a crucial technology for Intelligent Transportation Systems
(ITS) that integrates vehicles with the Internet and other entities. The emergence of 5 G and …
(ITS) that integrates vehicles with the Internet and other entities. The emergence of 5 G and …
AntibotV: A multilevel behaviour-based framework for botnets detection in vehicular networks
R Rahal, A Amara Korba, N Ghoualmi-Zine… - Journal of Network and …, 2022 - Springer
Connected cars offer safety and efficiency for both individuals and fleets of private vehicles
and public transportation companies. However, equipping vehicles with information and …
and public transportation companies. However, equipping vehicles with information and …
Federated learning for zero-day attack detection in 5g and beyond v2x networks
AA Korba, A Boualouache, B Brik… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
Deploying Connected and Automated Vehicles (CAVs) on top of 5G and Beyond networks
(5GB) makes them vulnerable to increasing vectors of security and privacy attacks. In this …
(5GB) makes them vulnerable to increasing vectors of security and privacy attacks. In this …