Anomaly Detection in Connected and Autonomous Vehicles: A Survey, Analysis, and Research Challenges
In Intelligent Transportation Systems (ITS), ensuring road safety has paved the way for
innovative advancements such as autonomous driving. These self-driving vehicles, with …
innovative advancements such as autonomous driving. These self-driving vehicles, with …
[HTML][HTML] Symmetrical simulation scheme for anomaly detection in autonomous vehicles based on LSTM model
Technological advancement has transformed traditional vehicles into autonomous vehicles.
Autonomous vehicles play an important role since they are considered an essential …
Autonomous vehicles play an important role since they are considered an essential …
A hybrid deep sensor anomaly detection for autonomous vehicles in 6G-V2X environment
Autonomous Vehicles (AVs) exchange real-time and seamless data between other AVs and
the network, thus revolutionizing the Intelligent Transportation System (ITS). Automated …
the network, thus revolutionizing the Intelligent Transportation System (ITS). Automated …
[HTML][HTML] Cyber attack detection for self-driving vehicle networks using deep autoencoder algorithms
FW Alsaade, MH Al-Adhaileh - Sensors, 2023 - mdpi.com
Connected and autonomous vehicles (CAVs) present exciting opportunities for the
improvement of both the mobility of people and the efficiency of transportation systems. The …
improvement of both the mobility of people and the efficiency of transportation systems. The …
[HTML][HTML] Smart anomaly detection and prediction for assembly process maintenance in compliance with industry 4.0
P Tanuska, L Spendla, M Kebisek, R Duris, M Stremy - Sensors, 2021 - mdpi.com
One of the big problems of today's manufacturing companies is the risks of the assembly line
unexpected cessation. Although planned and well-performed maintenance will significantly …
unexpected cessation. Although planned and well-performed maintenance will significantly …
[HTML][HTML] Anomaly detection in the internet of vehicular networks using explainable neural networks (xnn)
It is increasingly difficult to identify complex cyberattacks in a wide range of industries, such
as the Internet of Vehicles (IoV). The IoV is a network of vehicles that consists of sensors …
as the Internet of Vehicles (IoV). The IoV is a network of vehicles that consists of sensors …
Anomaly diagnosis of connected autonomous vehicles: A survey
Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …
transportation due to their potential to improve transportation performance in many ways …
Social psychology inspired distributed ledger technique for anomaly detection in connected vehicles
H Rathore, S Sai, A Gundewar - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Connected Vehicles (CVs), an integral part of the future of intelligent transportation systems,
use communication and sensing technologies to communicate among vehicles and …
use communication and sensing technologies to communicate among vehicles and …
Online transportation network cyber-attack detection based on stationary sensor data
Penetration of connected vehicles and crowdsourced mapping applications give rise to
security vulnerabilities in transportation networks. Accurate detection of cyber-attacks on …
security vulnerabilities in transportation networks. Accurate detection of cyber-attacks on …
CAVIDS: Real time intrusion detection system for connected autonomous vehicles using logical analysis of data
Abstract In recent times, Connected Autonomous Vehicles (CAVs) have been gaining
popularity and have already begun to revolutionize the transport industry, mainly using real …
popularity and have already begun to revolutionize the transport industry, mainly using real …