Deep learning in IoT intrusion detection
Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …
and sensors from across the globe are interconnected in a global grid, and distributed …
A systematic analysis of enhancing cyber security using deep learning for cyber physical systems
In this current era, cyber-physical systems (CPSs) have gained concentrated consideration
in various fields because of their emergent applications. Though the robust dependence on …
in various fields because of their emergent applications. Though the robust dependence on …
Predicting smart grid stability with optimized deep models
P Breviglieri, T Erdem, S Eken - SN Computer Science, 2021 - Springer
In a smart grid, consumer demand information is collected, centrally evaluated against
current supply conditions and the resulting proposed price information is sent back to …
current supply conditions and the resulting proposed price information is sent back to …
Classification of smart grid stability prediction using cascade machine learning methods and the internet of things in smart grid
In a smart grid, the main goals are to provide grid stability, improve power system
performance and security, and reduce operations, system maintenance, and planning costs …
performance and security, and reduce operations, system maintenance, and planning costs …
False data injection attack detection based on Hilbert-huang transform in AC smart islands
In Smart Island (SI) systems, operators of power distribution system usually utilize actual-
time measurement information as the Advanced Metering Infrastructure (AMI) to have an …
time measurement information as the Advanced Metering Infrastructure (AMI) to have an …
Anomaly Detection Framework in Fog-to-Things Communication for Industrial Internet of Things.
T Alatawi, A Aljuhani - Computers, Materials & Continua, 2022 - search.ebscohost.com
The rapid development of the Internet of Things (IoT) in the industrial domain has led to the
new term the Industrial Internet of Things (IIoT). The IIoT includes several devices …
new term the Industrial Internet of Things (IIoT). The IIoT includes several devices …
Understanding the cyber-physical system in international stadiums for security in the network from cyber-attacks and adversaries using AI
B Wan, C Xu, RP Mahapatra, P Selvaraj - Wireless Personal …, 2022 - Springer
Sports stadiums have a substantial influence on the environmental, urban, and social
context. Information and communication technology applications in the international sports …
context. Information and communication technology applications in the international sports …
Active and passive hybrid detection method for power CPS false data injection attacks with improved AKF and GRU‐CNN
Z Qu, X Bo, T Yu, Y Liu, Y Dong, Z Kan… - IET Renewable …, 2022 - Wiley Online Library
Taking account of the fact that the existing knowledge‐driven detection process for false
data injection attacks (FDIAs) has been in a passive detection state for a long time and …
data injection attacks (FDIAs) has been in a passive detection state for a long time and …
[HTML][HTML] An optimized algorithm for optimal power flow based on deep learning
With the increasing requirements for power system transient stability assessment, the
research on power system transient stability assessment theory and methods requires not …
research on power system transient stability assessment theory and methods requires not …
Artificial Intelligence for Threat Detection and Analysis in Industrial IoT: Applications and Challenges
H Karimipour, F Derakhshan - AI-Enabled Threat Detection and Security …, 2021 - Springer
Abstract Internet of Things (IoT) is a new trend in technology that aims to integrate the
physical and digital world into a single system. This technology is heavily utilized in the …
physical and digital world into a single system. This technology is heavily utilized in the …