Solutions for mitigating cybersecurity risks caused by legacy software in medical devices: a scoping review

T Tervoort, MT De Oliveira, W Pieters… - IEEE …, 2020 - ieeexplore.ieee.org
Cyberattacks against healthcare institutions threaten patient care. The risk of being targeted
by a damaging attack is increased when medical devices are used which rely on …

Hybrid optimization enabled deep learning technique for multi-level intrusion detection

ES GSR, M Azees, CHR Vinodkumar… - … in Engineering Software, 2022 - Elsevier
The intrusion detection system identifies the attack through the reputation and progression of
network methodology and the Internet. Moreover, conventional intrusion recognition …

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 …

Attack detection based on machine learning techniques to safe and secure for CPS—A review

DM Sharma, SK Shandilya - … Conference on IoT, Intelligent Computing and …, 2023 - Springer
Technological progression in communication and computing domains has led to the advent
of cyber-physical systems (CPS). As an emerging technological advancement, CPS security …

Intrusion detection system based on integrated system calls graph and neural networks

FJ Mora-Gimeno, H Mora-Mora, B Volckaert… - IEEE Access, 2021 - ieeexplore.ieee.org
Computer security is one of the main challenges of today's technological infrastructures,
whereas intrusion detection systems are one of the most widely used technologies to secure …

Machine learning and big data in cyber‐physical system: methods, applications and challenges

J Nayak, PS Kumar, DKK Reddy… - … engineering for next …, 2021 - Wiley Online Library
One of the most considerable and emerging methodologies, defined by the integration of
physical and computational processes as cyber‐physical systems. These systems are …

Intrusion detection system based on data mining technics for industrial networks

MU Sapozhnikova, AV Nikonov… - … Conference on Industrial …, 2018 - ieeexplore.ieee.org
Security of the critical infrastructure of automated process control system under the
conditions of the automation level of modern production in the Russian Federation and …

[PDF][PDF] An Efficient Cyber Security and Intrusion Detection System Using CRSR with PXORP-ECC and LTH-CNN.

NS Alotaibi - Computers, Materials & Continua, 2023 - cdn.techscience.cn
Intrusion Detection System (IDS) is a network security mechanism that analyses all users'
and applications' traffic and detects malicious activities in real-time. The existing IDS …

Cyber-Physical Security Issues and Challenges Using Machine Learning and Deep Learning Technologies

S Das, AK Balmiki, K Mazumdar… - Artificial Intelligence in …, 2023 - taylorfrancis.com
The Internet of Things (IoT) has become the major part of the IT industry nowadays. This is
prevalent not only in IT but also in our daily life. IoT is evolved in such a way that it takes over …

Explainable Neural Networks based Anomaly Detection for Cyber-Physical Systems

K Amarasinghe - 2019 - scholarscompass.vcu.edu
Abstract Cyber-Physical Systems (CPSs) are the core of modern critical infrastructure (eg
power-grids) and securing them is of paramount importance. Anomaly detection in data is …