Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations

MA Umer, KN Junejo, MT Jilani, AP Mathur - International Journal of …, 2022 - Elsevier
Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …

Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges

AMY Koay, RKL Ko, H Hettema, K Radke - Journal of Intelligent …, 2023 - Springer
The advent of Industry 4.0 has led to a rapid increase in cyber attacks on industrial systems
and processes, particularly on Industrial Control Systems (ICS). These systems are …

Adversarial sample attacks and defenses based on LSTM-ED in industrial control systems

Y Liu, L Xu, S Yang, D Zhao, X Li - Computers & Security, 2024 - Elsevier
The challenge faced by industrial control systems is that they are vulnerable to adversarial
sample attacks. In the ICS field, the challenge with adversarial sample attacks is that the …

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 …

A security model for smart grid SCADA systems using stochastic neural network

OBJ Rabie, S Selvarajan, D Alghazzawi… - IET Generation …, 2023 - Wiley Online Library
Detection of cyber‐threats in the smart grid Supervisory Control and Data Acquisition
(SCADA) is still remains one of the complex and essential processes need to be highly …

A data-centric approach to generate invariants for a smart grid using machine learning

D Hudani, M Haseeb, M Taufiq, MA Umer… - Proceedings of the …, 2022 - dl.acm.org
Cyber-Physical Systems (CPS) have gained popularity due to the increased requirements
on their uninterrupted connectivity and process automation. Due to their connectivity over …

Securing Industrial Control Systems (ICS) Through Attack Modelling and Rule-Based Learning

M Mehmood, Z Baig, N Syed - 2024 16th International …, 2024 - ieeexplore.ieee.org
In recent years, Industrial Control Systems (ICS) have been targeted through a range of
cyber-attacks that attempt to infiltrate and disrupt process controls of industrial control …

Unconsidered Installations: Discovering IoT Deployments in the IPv6 Internet

M Dahlmanns, F Heidenreich… - NOMS 2024-2024 …, 2024 - ieeexplore.ieee.org
Internet-wide studies provide extremely valuable insight into how operators manage their
Internet of Things (IoT) deployments in reality and often reveal grievances, eg, significant …

An REE-independent Approach to Identify Callers of TEEs in TrustZone-enabled Cortex-M Devices

AK Iannillo, S Rivera, D Suciu, R Sion… - … of the 8th ACM on Cyber …, 2022 - dl.acm.org
Internet of Things (IoT) devices are becoming increasingly ubiquitous in our lives, from
personal health monitoring to house and factory management. Further, IoT devices are …

Explainable AI in Industrial Control Systems; Key attributes, requirements and proof of concept

ES Siqveland - 2024 - uia.brage.unit.no
The increased digitization of the Industrial Control Systems (ICSs) and the integration of
Internet of Things (IoT) technologies in Critical Infrastructure (CI), introduced new …