Anomaly detection for early ransomware and spyware warning in nuclear power plant systems based on FusionGuard

AHN Almoqbil - International Journal of Information Security, 2024 - Springer
Securing critical infrastructure, particularly nuclear power plants, against emerging cyber
threats necessitates innovative cybersecurity approaches. This research introduces …

Opportunities for early detection and prediction of ransomware attacks against industrial control systems

M Gazzan, FT Sheldon - Future Internet, 2023 - mdpi.com
Industrial control systems (ICS) and supervisory control and data acquisition (SCADA)
systems, which control critical infrastructure such as power plants and water treatment …

Ransomware attack modeling and artificial intelligence-based ransomware detection for digital substations

SRB Alvee, B Ahn, T Kim, Y Su… - 2021 6th IEEE …, 2021 - ieeexplore.ieee.org
Ransomware has become a serious threat to the current computing world, requiring
immediate attention to prevent it. Ransomware attacks can also have disruptive impacts on …

Leveraging deep learning models for ransomware detection in the industrial internet of things environment

M Al-Hawawreh, E Sitnikova - 2019 military communications …, 2019 - ieeexplore.ieee.org
Local Area Network (LAN) workstations that operate at the edge tier of Industrial Internet of
Things systems (IIoT) and have direct or indirect interaction with critical control devices could …

Intelligent and dynamic ransomware spread detection and mitigation in integrated clinical environments

L Fernandez Maimo, A Huertas Celdran… - Sensors, 2019 - mdpi.com
Medical Cyber-Physical Systems (MCPS) hold the promise of reducing human errors and
optimizing healthcare by delivering new ways to monitor, diagnose and treat patients …

Deepran: Attention-based bilstm and crf for ransomware early detection and classification

KC Roy, Q Chen - Information Systems Frontiers, 2021 - Springer
Ransomware is a self-propagating malware encrypting file systems of the compromised
computers to extort victims for financial gains. Hundreds of schools, hospitals, and local …

Key factors influencing the rise of current ransomware attacks on industrial control systems

M Gazzan, A Alqahtani… - 2021 IEEE 11th Annual …, 2021 - ieeexplore.ieee.org
Ransomware is a malware type whose purpose is to lock and deny access to vital resources
and services in the system. Like any other system, ransomware targets Supervisory Control …

FedDICE: A ransomware spread detection in a distributed integrated clinical environment using federated learning and SDN based mitigation

C Thapa, KK Karmakar, AH Celdran… - … , Reliability, Security and …, 2021 - Springer
An integrated clinical environment (ICE) enables the connection and coordination of the
internet of medical things around the care of patients in hospitals. However, ransomware …

A hybrid physics-based data-driven framework for anomaly detection in industrial control systems

MRG Raman, AP Mathur - IEEE Transactions on Systems, Man …, 2021 - ieeexplore.ieee.org
A method referred to as PbNN is proposed to detect cyber-physical attacks through the
identification of resulting anomalies in the process dynamics of the underlying ICS. Unlike …

Analysis, prevention and detection of ransomware attacks on Industrial Control Systems

GV Santangelo, VG Colacino… - 2021 IEEE 20th …, 2021 - ieeexplore.ieee.org
With the advent of Industry 4.0, Industrial Control Systems (ICS) are becoming a prime target
for many cyber criminals. We are witnessing a steady increase in the number of ransomware …