Autonomous vehicles security: Challenges and solutions using blockchain and artificial intelligence
The arrival of autonomous vehicles (AVs) promises many great benefits, including increased
safety and reduced energy consumption, pollution, and congestion. However, these engines …
safety and reduced energy consumption, pollution, and congestion. However, these engines …
A comprehensive survey of v2x cybersecurity mechanisms and future research paths
R Sedar, C Kalalas, F Vázquez-Gallego… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Recent advancements in vehicle-to-everything (V2X) communication have notably improved
existing transport systems by enabling increased connectivity and driving autonomy levels …
existing transport systems by enabling increased connectivity and driving autonomy levels …
[HTML][HTML] Federated learning of explainable AI models in 6G systems: Towards secure and automated vehicle networking
This article presents the concept of federated learning (FL) of eXplainable Artificial
Intelligence (XAI) models as an enabling technology in advanced 5G towards 6G systems …
Intelligence (XAI) models as an enabling technology in advanced 5G towards 6G systems …
Explainable artificial intelligence for smart city application: a secure and trusted platform
Artificial Intelligence (AI) is one of the disruptive technologies that is shaping the future. It has
growing applications for data-driven decisions in major smart city solutions, including …
growing applications for data-driven decisions in major smart city solutions, including …
[HTML][HTML] Data-driven approaches for cyber defense of battery energy storage systems
Battery energy storage system (BESS) is an important component of a modern power system
since it allows seamless integration of renewable energy sources (RES) into the grid. A …
since it allows seamless integration of renewable energy sources (RES) into the grid. A …
Prediction of electric power performance of the exhaust waste heat recovery system of an automobile with thermoelectrical generator under real driving conditions by …
In internal combustion engines, approximately 40% of the thermal power obtained from fuel
burning is thrown out to the environment from the exhaust system. Implementations of waste …
burning is thrown out to the environment from the exhaust system. Implementations of waste …
Malware analysis and detection with explainable machine learning
M Scalas - 2021 - iris.unica.it
Malware detection is one of the areas where machine learning is successfully employed due
to its high discriminating power and the capability of identifying novel variants of malware …
to its high discriminating power and the capability of identifying novel variants of malware …