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08/18/2023
Blockchain-Based and Fuzzy Logic-Enabled False Data Discovery for the Intelligent Autonomous Vehicular System
Since the beginning of this decade, several incidents report that false ...
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07/25/2023
Digital Emotion Regulation on Social Media
Emotion regulation is the process of consciously altering one's affectiv...
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04/07/2023
FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination
With the growing concern about the security and privacy of smart grid sy...
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03/28/2023
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination
With growing security and privacy concerns in the Smart Grid domain, int...
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03/02/2023
Encouraging Emotion Regulation in Social Media Conversations through Self-Reflection
Anonymity in social media platforms keeps users hidden behind a keyboard...
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09/29/2022
A Secure Federated Learning Framework for Residential Short Term Load Forecasting
Smart meter measurements, though critical for accurate demand forecastin...
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06/13/2022
Adversarial Models Towards Data Availability and Integrity of Distributed State Estimation for Industrial IoT-Based Smart Grid
Security issue of distributed state estimation (DSE) is an important pro...
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04/11/2022
Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach
Security concerns for IoT applications have been alarming because of the...
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03/30/2022
Enhancing AES Using Chaos and Logistic Map-Based Key Generation Technique for Securing IoT-Based Smart Home
The Internet of Things (IoT) has brought new ways for humans and machine...
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03/10/2022
A Systematic Literature Review on Blockchain Enabled Federated Learning Framework for Internet of Vehicles
While the convergence of Artificial Intelligence (AI) techniques with im...
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03/01/2022
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers
As Smart Meters are collecting and transmitting household energy consump...
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11/28/2021
False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey
With the proliferation of smart devices and revolutions in communication...
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10/07/2021
Data-driven behavioural biometrics for continuous and adaptive user verification using Smartphone and Smartwatch
Recent studies have shown how motion-based biometrics can be used as a f...
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10/02/2021
Emerging Trends of Recently Published Datasets for Intrusion Detection Systems (IDS): A Survey
With the ubiquitous nature of information technology solutions that faci...
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07/12/2021
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks
The Controller Area Network (CAN) bus works as an important protocol in ...
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07/01/2021
Bi-Level Poisoning Attack Model and Countermeasure for Appliance Consumption Data of Smart Homes
Accurate building energy prediction is useful in various applications st...
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03/30/2021
A Taxonomy of Cyber Defence Strategies Against False Data Attacks in Smart Grid
Modern electric power grid, known as the Smart Grid, has fast transforme...
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03/19/2021
Comprehensive Survey and Taxonomies of False Injection Attacks in Smart Grid: Attack Models, Targets, and Impacts
Smart Grid has rapidly transformed the centrally controlled power system...
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12/18/2020
DistB-Condo: Distributed Blockchain-based IoT-SDN Model for Smart Condominium
Condominium network refers to intra-organization networks, where smart b...
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10/11/2020
Towards a Lightweight Continuous Authentication Protocol for Device-to-Device Communication
Continuous Authentication (CA) has been proposed as a potential solution...
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09/30/2020
Detecting Autism Spectrum Disorder using Machine Learning
Autism Spectrum Disorder (ASD), which is a neuro development disorder, i...
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08/21/2014
Swarm Intelligence Based Multi-phase OPF For Peak Power Loss Reduction In A Smart Grid
Recently there has been increasing interest in improving smart grids eff...
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08/21/2014