Vulnerability detection in cyber-physical system using machine learning

V Bharathi - Scalable Computing: Practice and Experience, 2024 - scpe.org
The cyber-physical system is a specific type of IoT communication environment that deals
with communication through innovative healthcare (medical) devices. The traditional …

[HTML][HTML] Efficient Deep Learning-Based Cyber-Attack Detection for Internet of Medical Things Devices

A Judith, GJW Kathrine, S Silas - Engineering Proceedings, 2023 - mdpi.com
The usage of IoT in the medical field, often referred to as IoMT, plays a vital role in facilitating
the exchange of sensitive data among medical devices. This capability significantly …

Automated threat detection using flamingo search algorithm with optimal deep learning on cyber-physical system environment

M Alajmi, HA Mengash, H Alqahtani, SS Aljameel… - IEEE …, 2023 - ieeexplore.ieee.org
Threat detection in a Cyber-Physical System (CPS) platform is a key feature of ensuring the
reliability and security of these connected methods, but digital elements interface with the …

Formal threat analysis of machine learning-based control systems: A study on smart healthcare systems

NI Haque, MA Rahman, S Uluagac - Computers & Security, 2024 - Elsevier
Modern cyber-physical systems (CPSs) use the Internet of Things (IoT) to collect and
exchange data efficiently, monitor device/sensor level interaction effectively, and adopt new …

[PDF][PDF] Optimal machine learning enabled intrusion detection in cyber-physical system environment

BAY Alqaralleh, F Aldhaban, EA AlQarallehs… - … , Materials & Continua, 2022 - academia.edu
Cyber-attacks on cyber-physical systems (CPSs) resulted to sensing and actuation
misbehavior, severe damage to physical object, and safety risk. Machine learning (ML) …

Machine learning-based intrusion detection for SCADA systems in healthcare

T Öztürk, Z Turgut, G Akgün, C Köse - Network Modeling Analysis in Health …, 2022 - Springer
Energy distribution systems and cyber-physical systems brought together information
technology, electrical and mechanical engineering in an integrated manner. This cybernetic …

Machine learning for threat recognition in critical cyber-physical systems

P Perrone, F Flammini, R Setola - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Cybersecurity has become an emerging challenge for business information management
and critical infrastructure protection in recent years. Artificial Intelligence (AI) has been …

Efficient cyber attack detection on the internet of medical things-smart environment based on deep recurrent neural network and machine learning algorithms

YK Saheed, MO Arowolo - IEEE Access, 2021 - ieeexplore.ieee.org
Information and communication technology (ICT) advancements have altered the entire
computing paradigm. As a result of these improvements, numerous new channels of …

Applied machine learning for securing the internet of medical things in healthcare

W Lu - … Conference on Advanced Information Networking and …, 2023 - Springer
Integrating mobile computing technologies and human health activities using IoMT devices
can accelerate biomedical discovery and improve the efficiency of healthcare research and …

[HTML][HTML] Enhanced cyber attack detection process for internet of health things (IoHT) devices using deep neural network

KP Vijayakumar, K Pradeep, A Balasundaram… - Processes, 2023 - mdpi.com
Internet of Health Things plays a vital role in day-to-day life by providing electronic
healthcare services and has the capacity to increase the quality of patient care. Internet of …