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Found 10 papers, 1 papers with code
Trustworthy Artificial Intelligence Framework for Proactive Detection and Risk Explanation of Cyber Attacks in Smart Grid
The rapid growth of distributed energy resources (DERs), such as renewable energy sources, generators, consumers, and prosumers in the smart grid infrastructure, poses significant cybersecurity and trust challenges to the grid controller.
Intrusion Detection Systems Using Support Vector Machines on the KDDCUP'99 and NSL-KDD Datasets: A Comprehensive Survey
We provide a summary of each method, identifying the role of the SVMs classifier, and all other algorithms involved in the studies.
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
To this end, in this paper, we explore the present and future of FL technology in medical applications where data sharing is a significant challenge.
Gradient Ascent Algorithm for Enhancing Secrecy Rate in Wireless Communications for Smart Grid
Unlike state-of-the-art, we design and evaluate the Gradient Ascent algorithm to search for the best combiners/waveform that maximizes the secrecy capacity in smart grid communications.
Reinforcement Learning for IoT Security: A Comprehensive Survey
Machine learning has been proposed as one of the emerging solutions for IoT security and Reinforcement learning is gaining more popularity for securing IoT systems.
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS
Furthermore, with this paper, readers can have a thorough understanding of recent advances on ML-based security and securing ML for CPS and countermeasures, as well as research trends in this active research area.
Securing V2I Communications in 5G and Beyond Wireless System Using Gradient Ascent Approach
The 5G and beyond wireless systems, instead of being just an extension of 4G, are regarded as `network of networks' which is expected to integrate heterogeneous wireless networks including wireless vehicular networks (WVN).
PLS for V2I Communications Using Friendly Jammer and Double kappa-mu Shadowed Fading
The concept of intelligent transportation systems (ITS) is considered to be a highly promising area of research due to its diversity of unique features.
Physical Layer Security for V2I Communications: Reflecting Surfaces Vs. Relaying
Wireless vehicular network (WVN) is exponentially gaining attention from industries and researchers since it is the Keystone of intelligent transportation systems (ITS).
A Novel AI-enabled Framework to Diagnose Coronavirus COVID 19 using Smartphone Embedded Sensors: Design Study
Therefore, in this paper, a new framework is proposed to detect COVID-19 using built-in smartphone sensors.
