A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems

N Aftabi, D Li, P Ramanan - arXiv preprint arXiv:2310.06948, 2023 - arxiv.org
Cybersecurity of Industrial Cyber-Physical Systems is drawing significant concerns as data
communication increasingly leverages wireless networks. A lot of data-driven methods were …

Development of intrusion detection system using deep learning for classifying attacks in power systems

Ankitdeshpandey, R Karthi - Soft Computing: Theories and Applications …, 2020 - Springer
Interconnected devices have increased rapidly, and smart power grids have adapted this
technology for increased reliability and fault tolerance. Due to exposure of power grid …

Cyber Attacks Detection and Prevention using Cryptography Algorithms for Industrial Automation

N Chauhan, KS Kumar - 2023 2nd International Conference for …, 2023 - ieeexplore.ieee.org
Most industries and societies couldn't function without industrial control systems (ICSs). If
they collapse, it might have a major effect on the economy and on people's lives. This makes …

Automated Neural Network Structure Design for Efficient

E Holasova, R Fujdiak, P Blazek… - Proceedings of the 2023 …, 2023 - dl.acm.org
The creation of suitable and efficient tools for anomaly detection constitutes a crucial aspect
of security, applicable not only to industrial networks but also to cyber-physical systems. This …

A false sense of security? Revisiting the state of machine learning-based industrial intrusion detection

D Kus, E Wagner, J Pennekamp, K Wolsing… - Proceedings of the 8th …, 2022 - dl.acm.org
Anomaly-based intrusion detection promises to detect novel or unknown attacks on
industrial control systems by modeling expected system behavior and raising corresponding …

Cyber attacks in cyber-physical microgrid systems: A comprehensive review

S Suprabhath Koduru, VSP Machina, S Madichetty - Energies, 2023 - mdpi.com
The importance of and need for cyber security have increased in the last decade. The critical
infrastructure of the country, modeled with cyber-physical systems (CPS), is becoming …

Autoencoder via DCNN and LSTM models for intrusion detection in industrial control systems of critical infrastructures

YK Saheed, S Misra… - 2023 IEEE/ACM 4th …, 2023 - ieeexplore.ieee.org
Industrial Control Systems (ICS) are widely used to carry out the fundamental functions of a
society and are frequently employed in Critical Infrastructures (CIs). Consequently …

Detection and isolation of dos and integrity cyber attacks in cyber-physical systems with a neural network-based architecture

CM Paredes, D Martínez-Castro, V Ibarra-Junquera… - Electronics, 2021 - mdpi.com
New applications of industrial automation request great flexibility in the systems, supported
by the increase in the interconnection between its components, allowing access to all the …

Unsupervised and incremental learning orchestration for cyber‐physical security

LHA Reis, A Murillo Piedrahita, S Rueda… - Transactions on …, 2020 - Wiley Online Library
Attacks on cyber‐physical systems, such as nuclear and water treatment plants, have
physical consequences that impact the lives of thousands of citizens. In such systems, it is …

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 …