Deep Learning-Powered Computational Intelligence for Cyber-Attacks Detection and Mitigation in 5G-Enabled Electric Vehicle Charging Station
M Basnet - 2022 - search.proquest.com
An electric vehicle charging station (EVCS) infrastructure is the backbone of transportation
electrification. However, the EVCS has various cyber-attack vulnerabilities in software …
electrification. However, the EVCS has various cyber-attack vulnerabilities in software …
CNN-CLFA: Support Mobile Edge Computing in Transportation Cyber Physical System
A Bhansali, RK Patra, PB Divakarachari… - IEEE …, 2024 - ieeexplore.ieee.org
In the present scenario, the transportation Cyber Physical System (CPS) improves the
reliability and efficiency of the transportation systems by enhancing the interactions between …
reliability and efficiency of the transportation systems by enhancing the interactions between …
Sustainable and lightweight domain-based intrusion detection system for in-vehicle network
Intelligent transportation systems are designed to enhance and optimize the traffic flow,
safety of urban mobility, and improve energy efficiency. While advanced vehicles are …
safety of urban mobility, and improve energy efficiency. While advanced vehicles are …
Explainable ai in machine/deep learning for intrusion detection in intelligent transportation systems for smart cities
A Procopiou, TM Chen - Explainable Artificial Intelligence for …, 2021 - api.taylorfrancis.com
Overpopulation and urbanization comprise two critical problems in our society. As a result,
numerous issues are caused, including environmental pollution, emissions exhaustion …
numerous issues are caused, including environmental pollution, emissions exhaustion …
An Accurate Line-of-Sight Rate Estimation Method Based on LSTM Recurrent Neural Network for Strapdown Imaging Seeker
D Zhu, Y Zheng, W Xu, S Bai - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Obtaining accurate line-of-sight (LOS) rates is a challenging task for strapdown imaging
seekers. The traditional Kalman filter and its improved algorithm are difficult to deal with the …
seekers. The traditional Kalman filter and its improved algorithm are difficult to deal with the …
Generating Neural Networks for Diverse Networking Classification Tasks via Hardware-Aware Neural Architecture Search
Neural networks (NNs) are widely used in classification-based networking analysis to help
traffic transmission and system security. However, there are heterogeneous network devices …
traffic transmission and system security. However, there are heterogeneous network devices …
MKF-ADS: A Multi-Knowledge Fused Anomaly Detection System for Automotive
P Cheng, Z Wu, G Liu - arXiv preprint arXiv:2403.04293, 2024 - arxiv.org
With the requirements of Intelligent Transport Systems (ITSs) for extensive connectivity of
Electronic Control Units (ECUs) to the outside world, safety and security have become …
Electronic Control Units (ECUs) to the outside world, safety and security have become …
Efficient Attack Detection with Multi-Latency Neural Models on Heterogeneous Network Devices
To achieve fast and accurate attack detection, some works manually tailor neural networks
(NNs) for deployment on CPUs of gateways, routers, or even programmable switches …
(NNs) for deployment on CPUs of gateways, routers, or even programmable switches …
Design and demonstrate an attack strategy to control a vehicle's computer by targeting its electrical network
The functionality of most modern automobiles is controlled by electronic control units (ECUs)
that interact with one another via the CAN communication protocol (controller area network) …
that interact with one another via the CAN communication protocol (controller area network) …
A Novel Active Solution for Two-Dimensional Face Presentation Attack Detection
M Pooshideh - arXiv preprint arXiv:2212.06958, 2022 - arxiv.org
Identity authentication is the process of verifying one's identity. There are several identity
authentication methods, among which biometric authentication is of utmost importance …
authentication methods, among which biometric authentication is of utmost importance …