Artificial Intelligence (AI) trust framework and maturity model: applying an entropy lens to improve security, privacy, and ethical AI

M Mylrea, N Robinson - Entropy, 2023 - mdpi.com
Recent advancements in artificial intelligence (AI) technology have raised concerns about
the ethical, moral, and legal safeguards. There is a pressing need to improve metrics for …

Security and privacy issues in autonomous vehicles: A layer-based survey

M Hataba, A Sherif, M Mahmoud… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Artificial Intelligence (AI) is changing every technology we are used to deal with. Autonomy
has long been a sought-after goal in vehicles, and now more than ever we are very close to …

Multisource traffic incident reporting and evidence management in Internet of Vehicles using machine learning and blockchain

AO Philip, RAK Saravanaguru - Engineering Applications of Artificial …, 2023 - Elsevier
Intelligent transportation systems require efficient ways to manage traffic incidents like
accidents and traffic rule violations. Secure logging of incident related data is important in …

Robust Autonomous Vehicle Computer-Vision-Based Localization in Challenging Environmental Conditions

S Chuprov, P Belyaev, R Gataullin, L Reznik… - Applied Sciences, 2023 - mdpi.com
In this paper, we present a novel autonomous vehicle (AV) localization design and its
implementation, which we recommend to employ in challenging navigation conditions with a …

Evaluation of a reputation management technique for autonomous vehicles

D Kianersi, S Uppalapati, A Bansal, J Straub - Future Internet, 2022 - mdpi.com
Future autonomous vehicles will rely heavily on sharing and communicating information with
other vehicles to maximize their efficiency. These interactions, which will likely include …

Motion comfort optimization for autonomous vehicles: Concepts, methods, and techniques

M Aledhari, M Rahouti, J Qadir… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
This article outlines the architecture of autonomous driving and related complementary
frameworks from the perspective of human comfort. The technical elements for measuring …

Trust-based anomaly detection in federated edge learning

R Zatsarenko, S Chuprov… - 2024 IEEE World AI …, 2024 - ieeexplore.ieee.org
We present a novel approach for anomaly detection in a decentralized federated learning
setting for edge units. We propose quantifiable metrics of Reputation and Trust that allow us …

Applying Trust Patterns to Model Complex Trustworthiness in the Internet of Things

F Messina, D Rosaci, GML Sarnè - Electronics, 2024 - mdpi.com
Key aspects of communities of the Internet of Things (IoT) smart objects presenting social
aspects are represented by trust and reputation relationships between the objects. Several …

Secure vehicular communication using blockchain technology

N Padmapriya, T Ananth Kumar, R Rajmohan… - … Intelligence, and the …, 2022 - Springer
Intelligent transportation systems are also called vehicular ad hoc networks (VANETs). They
assure timely and reliable vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) …

Data Quality in Edge Machine Learning: A State-of-the-Art Survey

MD Belgoumri, MR Bouadjenek, S Aryal… - arXiv preprint arXiv …, 2024 - arxiv.org
Data-driven Artificial Intelligence (AI) systems trained using Machine Learning (ML) are
shaping an ever-increasing (in size and importance) portion of our lives, including, but not …