Advanced machine learning approach for DoS attack resilience in internet of vehicles security

N Ahmed, F Hassan, K Aurangzeb, AH Magsi… - Heliyon, 2024 - cell.com
Recent years have witnessed security as a great concern in vehicular networks (VANET).
Particularly, Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks can …

Analysis of machine learning algorithms for DDoS attack detection in connected cars environment

AEL Attar, A Wehby, F Chbib… - … On Mobile And …, 2023 - ieeexplore.ieee.org
Cyberattacks against the Internet of Vehicles (IoV) will continue to evolve as the industry
continues to adopt new and advanced connected technologies. These advances should …

Real-time DDoS flooding attack detection in intelligent transportation systems

H Karthikeyan, G Usha - Computers and Electrical Engineering, 2022 - Elsevier
Abstract Integrated Intelligent Transportation System (IITS) is built by the emergence of the
Internet of Vehicles (IoV) and the employment of the Internet of Things (IoT) in the …

An Enhanced Model for Machine Learning-Based DoS Detection in Vehicular Networks

S Ercan, L Mendiboure, L Alouache… - 2023 IFIP …, 2023 - ieeexplore.ieee.org
Vehicular communication networks should play an important role in deploying future
automated and connected vehicles. Indeed, these vehicular networks could exchange …

Analysis of BayesNet classifier for DDoS detection in vehicular networks

A Verma, R Saha - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
In vehicular networks, Distributed Denial of Service (DDoS), an extension of Denial of
Service (DoS) attacks, disrupt the normal vehicular network services. Existing DDoS …

PETRAK: A solution against DDoS attacks in vehicular networks

A Verma, R Saha, G Kumar, M Conti - Computer Communications, 2024 - Elsevier
In recent years, the frequently reported incidents of Distributed Denial of Service assaults on
vehicular networks in various countries have made researchers find new protective …

DoS Attack Detection in VANET using Transfer Learning Approach for BSM Data

MA Shahid, A Jaekel, N Zhang… - … and Mobile Computing …, 2024 - ieeexplore.ieee.org
In vehicular ad hoc networks (VANETs), vehicles exchange sensitive information, including
vehicle identity, position, speed, heading and other parameters, with nearby vehicles or …

VAIDANSHH: Adaptive DDoS detection for heterogeneous hosts in vehicular environments

A Verma, R Saha, G Kumar, M Conti… - Vehicular …, 2024 - Elsevier
Vehicular networks are vulnerable to Distributed Denial of Service (DDoS), an extension of a
Denial of Service (DoS) attack. The existing solutions for DDoS detection in vehicular …

DDoS attack detection: A key enabler for sustainable communication in internet of vehicles

HHR Sherazi, R Iqbal, F Ahmad, ZA Khan… - … Informatics and Systems, 2019 - Elsevier
Privacy and trustworthiness are the key apprehensions for the users of Internet of Vehicle
(IoV) services. Having multiple components involved in the communication (ie, sensors …

Towards the development of realistic dos dataset for intelligent transportation systems

R Rahal, A Amara Korba, N Ghoualmi-Zine - Wireless Personal …, 2020 - Springer
Vehicular ad-hoc networks (VANETs) present security vulnerabilities, which make them
prone to diverse cyberattacks. Denial of Service (DoS) is one of the most prevalent and …