Artificial Intelligence (AI) and Machine Learning (ML)-based Information Security in Electric Vehicles: A Review
The use of artificial intelligence (AI) and machine learning (ML) in electric vehicles (EVs) is
gaining popularity as a means of improving information security. However, there is a lack of …
gaining popularity as a means of improving information security. However, there is a lack of …
Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems
H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
Enhancing the Distributed Acoustic Sensors'(DAS) Performance by the Simple Noise Reduction Algorithms Sequential Application
AT Turov, YA Konstantinov, FL Barkov, DA Korobko… - Algorithms, 2023 - mdpi.com
Moving differential and dynamic window moving averaging are simple and well-known
signal processing algorithms. However, the most common methods of obtaining sufficient …
signal processing algorithms. However, the most common methods of obtaining sufficient …
Evaluation framework for electric vehicle security risk assessment
Electric Vehicles (EVs) seem promising for future transportation to solve environmental
concerns and energy management problems. According to Reuters, global car makers plan …
concerns and energy management problems. According to Reuters, global car makers plan …
Artificial intelligence (AI) advancements for transportation security: in-depth insights into electric and aerial vehicle systems
The transformative advancements in transportation technology have brought forth electric
and aerial vehicles (EnAVs) as revolutionizing modes of mobility. However, amidst the …
and aerial vehicles (EnAVs) as revolutionizing modes of mobility. However, amidst the …
[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 …
number of intrusions is also increasing. An intrusion detection system (IDS) is a secondary …
Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models
In the evolving landscape of Internet of Things (IoT) and Industrial IoT (IIoT) security, novel
and efficient intrusion detection systems (IDSs) are paramount. In this article, we present a …
and efficient intrusion detection systems (IDSs) are paramount. In this article, we present a …
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case
As technology advances, the use of Machine Learning (ML) in cybersecurity is becoming
increasingly crucial to tackle the growing complexity of cyber threats. While traditional ML …
increasingly crucial to tackle the growing complexity of cyber threats. While traditional ML …
Electric vehicle based smart cloud model cyber security analysis using fuzzy machine learning with blockchain technique
P Yang - Computers and Electrical Engineering, 2024 - Elsevier
Electric vehicles' growing need on in-car and inter-car connection can cause major issues
for the infrastructure. By providing a secure and trustworthy intelligent framework, this article …
for the infrastructure. By providing a secure and trustworthy intelligent framework, this article …
Cybersecurity of Modern Cyber-Physical Systems
F Turrin - 2023 - research.unipd.it
Abstract Cyber-Physical Systems (CPSs) refer to those systems characterized by the
interconnection of information technology and the physical process domains. These systems …
interconnection of information technology and the physical process domains. These systems …