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 …
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
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 …
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 …
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
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 …
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 …
other vehicles to maximize their efficiency. These interactions, which will likely include …
Motion comfort optimization for autonomous vehicles: Concepts, methods, and techniques
This article outlines the architecture of autonomous driving and related complementary
frameworks from the perspective of human comfort. The technical elements for measuring …
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 …
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
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 …
aspects are represented by trust and reputation relationships between the objects. Several …
Secure vehicular communication using blockchain technology
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) …
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
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 …
shaping an ever-increasing (in size and importance) portion of our lives, including, but not …