Deep learning model for cybersecurity attack detection in cyber-physical systems
In recent years, there has been an increasing demand for computing devices in cyber-
physical systems (CPS), which include smart manufacturing, air intelligent transportation …
physical systems (CPS), which include smart manufacturing, air intelligent transportation …
Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems
The urgency of solving the problem of ensuring the security of cyber-physical systems is due
to ensure their correct functioning. Cyber-physical system applications have a significant …
to ensure their correct functioning. Cyber-physical system applications have a significant …
Cyber-attack detection in cyber-physical systems using supervised machine learning
P Semwal, A Handa - Handbook of Big Data Analytics and Forensics, 2022 - Springer
Abstract Cyber-Physical Systems (CPS) are where the physical processes are controlled by
computation and other technology components. Although, the collaboration of the computer …
computation and other technology components. Although, the collaboration of the computer …
Deep learning algorithms for cybersecurity applications: A technological and status review
P Dixit, S Silakari - Computer Science Review, 2021 - Elsevier
Cybersecurity mainly prevents the hardware, software, and data present in the system that
has an active internet connection from external attacks. Organizations mainly deploy …
has an active internet connection from external attacks. Organizations mainly deploy …
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 …
Comparison and investigation of AI-based approaches for cyberattack detection in cyber-physical systems
The demand for cyber-physical systems (CPSs) has recently increased in various domains,
such as smart grids, intelligent transportation, and critical infrastructure. The massive data …
such as smart grids, intelligent transportation, and critical infrastructure. The massive data …
Hybrid Deep Learning Model for Cyber-Attack Detection
M Premkumar, R Lakshmi… - … and Control Systems …, 2023 - ieeexplore.ieee.org
Better detection and avoidance of intrusions solutions are in high demand because of the
worldwide upsurge in hacking on computer networks. New technologies like fog computing …
worldwide upsurge in hacking on computer networks. New technologies like fog computing …
Deep Learning Approaches for Cyber Threat Detection and Mitigation
Cyberspace has inflated over the past decade, primarily driven by pervasive development
and widespread usage of the internet. Prolonged cyber-attacks and security vulnerabilities …
and widespread usage of the internet. Prolonged cyber-attacks and security vulnerabilities …
Deep Learning for Attack Detection in Industrial IoT Edge Devices
SJ Yatish, V Vinod, SS Pande… - 2023 8th …, 2023 - ieeexplore.ieee.org
In recent times, system controllers are being fully deployed via the Industrial Internet of
Things (IIoT), which significantly enhances the economy and manufacturing industry. Digital …
Things (IIoT), which significantly enhances the economy and manufacturing industry. Digital …
Detecting malicious attacks using Cyber-security models using Deep learning approach
AM Alamyar - 2023 - researchsquare.com
In recent years, invaders have been increasing rapidly in the internet world. Gen-erally, to
detect anonymous attackers, the algorithm needs more features. Many algorithms fail in the …
detect anonymous attackers, the algorithm needs more features. Many algorithms fail in the …