Cvmids: Cloud-vehicle collaborative intrusion detection system for internet-of-vehicles

J Qin, Y Xun, J Liu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
As the evolution of 3GPP specification and the deployment of 5G network, Internet of
Vehicles (IoVs) boom fireworks. However, its attack surface is expanded with the increased …

AI-based anomaly identification techniques for vehicles communication protocol systems: Comprehensive investigation, research opportunities and challenges

H Ahmad, MM Gulzar, S Aziz, S Habib, I Ahmed - Internet of Things, 2024 - Elsevier
Abstract The use of Controller Area Network in advanced automobiles as a communication
technology is becoming more common. However, there is a lack of adequate privacy …

[PDF][PDF] A Novel Intrusion Detection Model of Unknown Attacks Using Convolutional Neural Networks.

A Alsaleh - Computer Systems Science & Engineering, 2024 - cdn.techscience.cn
With the increasing number of connected devices in the Internet of Things (IoT) era, the
number of intrusions is also increasing. An intrusion detection system (IDS) is a secondary …

A Hybrid-Cryptography Engine for Securing Intra-Vehicle Communications

W Tiberti, R Civino, N Gavioli, M Pugliese, F Santucci - Applied Sciences, 2023 - mdpi.com
While technological advancements and their deep integration in connected and automated
vehicles is a central aspect in the evolving trend of automotive industry, they also depict a …

Modified aquila optimizer feature selection approach and support vector machine classifier for intrusion detection system

L Abualigah, SH Ahmed, MH Almomani… - Multimedia Tools and …, 2024 - Springer
With the ever-expanding ubiquity of the Internet, wireless networks have permeated every
facet of modern life, escalating concerns surrounding network security for users …

Impact of wiring characteristics on voltage-based fingerprinting in controller area networks

L Popa, C Jichici, T Andreica… - 2023 IEEE 17th …, 2023 - ieeexplore.ieee.org
Voltage patterns generated by Controller Area Network (CAN) nodes have been commonly
proposed as a source for sender identification as this exposes fine grain manufacturing …

Enhanced Intrusion Detection in In-Vehicle Networks using Advanced Feature Fusion and Stacking-Enriched Learning

A Altalbe - IEEE Access, 2023 - ieeexplore.ieee.org
Modern vehicles rely heavily on interconnected electronic control units (ECUs) through in-
vehicle networks to perform crucial functions such as braking and monitoring engine RPMs …

Multi-classification in-vehicle intrusion detection system using packet-and sequence-level characteristics from time-embedded transformer with autoencoder

TD Le, HBH Truong, D Kim - Knowledge-Based Systems, 2024 - Elsevier
In recent years, the increased application of controller area network (CAN) protocols has
made it the de facto standard for communication between electronic control units (ECUs) in …

Auto-Updating Intrusion Detection System for Vehicular Network: A Deep Learning Approach Based on Cloud-Edge-Vehicle Collaboration

C Fan, J Cui, H Jin, H Zhong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Intrusion detection systems play a crucial role in ensuring the safety of vehicle driving.
Traditional intrusion detection systems face challenges in efficiently extracting key features …

VADGAN: An Unsupervised GAN Framework for Enhanced Anomaly Detection in Connected and Autonomous Vehicles

S Devika, RR Shrivastava, P Narang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The utilization of Connected and Autonomous Vehicles (CAVs) is on the rise, driven by their
ability to provide vehicular services such as enhancing vehicle safety, aiding in intelligent …