A comprehensive study of DDoS attacks over IoT network and their countermeasures

P Kumari, AK Jain - Computers & Security, 2023 - Elsevier
IoT offers capabilities to gather information from digital devices, infer from their results, and
maintain and optimize these devices in different domains. IoT is heterogeneous in nature …

Survey on artificial intelligence (AI) techniques for vehicular ad-hoc networks (VANETs)

A Mchergui, T Moulahi, S Zeadally - Vehicular Communications, 2022 - Elsevier
Advances in communications, smart transportation systems, and computer systems have
recently opened up vast possibilities of intelligent solutions for traffic safety, convenience …

A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks

A Boualouache, T Engel - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …

Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges

S Khatri, H Vachhani, S Shah, J Bhatia… - Peer-to-Peer Networking …, 2021 - Springer
Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …

[HTML][HTML] Machine learning-based zero-touch network and service management: A survey

J Gallego-Madrid, R Sanchez-Iborra, PM Ruiz… - Digital Communications …, 2022 - Elsevier
The exponential growth of mobile applications and services during the last years has
challenged the existing network infrastructures. Consequently, the arrival of multiple …

Hybrid optimization enabled trust-based secure routing with deep learning-based attack detection in VANET

G Kaur, D Kakkar - Ad Hoc Networks, 2022 - Elsevier
Vehicular ad-hoc network (VANET) model is easy to arrange and inexpensive answer for
clever traffic control and traffic failure protective measures. Generally, the nodes present in …

An adaptive real-time malicious node detection framework using machine learning in vehicular ad-hoc networks (VANETs)

K Rashid, Y Saeed, A Ali, F Jamil, R Alkanhel… - Sensors, 2023 - mdpi.com
Modern vehicle communication development is a continuous process in which cutting-edge
security systems are required. Security is a main problem in the Vehicular Ad Hoc Network …

Security and privacy in vehicular ad hoc network and vehicle cloud computing: a survey

MS Sheikh, J Liang, W Wang - Wireless Communications and …, 2020 - Wiley Online Library
Vehicular networks are becoming a prominent research field in the intelligent transportation
system (ITS) due to the nature and characteristics of providing high‐level road safety and …

Detection of reduction-of-quality DDoS attacks using Fuzzy Logic and machine learning algorithms

V de Miranda Rios, PRM Inácio, D Magoni… - Computer Networks, 2021 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks are still among the most dangerous
attacks on the Internet. With the advance of methods for detecting and mitigating these …

Artificial Intelligence techniques to mitigate cyber-attacks within vehicular networks: Survey

A Haddaji, S Ayed, LC Fourati - Computers and Electrical Engineering, 2022 - Elsevier
Rapid advancements in communication technology have made vehicular networks a reality
with numerous applications. However, vehicular network security is still an open research …