Securing industrial control systems: components, cyber threats, and machine learning-driven defense strategies
Industrial Control Systems (ICS), which include Supervisory Control and Data Acquisition
(SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers …
(SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers …
[HTML][HTML] Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions toward automation, intelligence and transparent cybersecurity modeling for critical …
Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets,
and services that are vital for the functioning and well-being of a society, economy, or nation …
and services that are vital for the functioning and well-being of a society, economy, or nation …
Current trends in AI and ML for cybersecurity: A state-of-the-art survey
N Mohamed - Cogent Engineering, 2023 - Taylor & Francis
This paper provides a comprehensive survey of the state-of-the-art use of Artificial
Intelligence (AI) and Machine Learning (ML) in the field of cybersecurity. The paper …
Intelligence (AI) and Machine Learning (ML) in the field of cybersecurity. The paper …
A survey on safeguarding critical infrastructures: Attacks, AI security, and future directions
KJ Raval, NK Jadav, T Rathod, S Tanwar… - International Journal of …, 2023 - Elsevier
Technologies such as artificial intelligence (AI), blockchain, and the Internet of Things (IoT)
have converged in driving the next wave of digital revolution. Amalgamating the …
have converged in driving the next wave of digital revolution. Amalgamating the …
[HTML][HTML] A comparative evaluation of intrusion detection systems on the edge-IIoT-2022 dataset
T Al Nuaimi, S Al Zaabi, M Alyilieli, M AlMaskari… - Intelligent Systems with …, 2023 - Elsevier
We propose and evaluate a data-driven intrusion detection system (IDS) for the Internet of
Things (IoT) and Industrial IoT (IIoT) environments using the Edge-IIoT-2022 dataset. We …
Things (IoT) and Industrial IoT (IIoT) environments using the Edge-IIoT-2022 dataset. We …
[PDF][PDF] Fortifying IoT against crimpling cyber-attacks: a systematic review
The rapid growth and increasing demand for Internet of Things (IoT) devices in our everyday
lives create exciting opportunities for human involvement, data integration, and seamless …
lives create exciting opportunities for human involvement, data integration, and seamless …
Blockchain and artificial intelligence as enablers of cyber security in the era of IoT and IIoT applications
The fifth revolution of the industrial era—or Industry 5.0—is the new industry trend that
defines the smart factory concept. This concept is based on emerging technologies, such as …
defines the smart factory concept. This concept is based on emerging technologies, such as …
Explainable AI for Cybersecurity
SR Sindiramutty, CE Tan, SP Lau… - … in Explainable AI …, 2024 - igi-global.com
In recent years, the utilization of AI in the field of cybersecurity has become more
widespread. Black-box AI models pose a significant challenge in terms of interpretability and …
widespread. Black-box AI models pose a significant challenge in terms of interpretability and …
[PDF][PDF] Harnessing AI and machine learning for intrusion detection in cyber security
S Chahal - International Journal of Science and Research, 2023 - researchgate.net
The study helps to investigate the performance of ML and AI to detect IDS using different
segments. The first segment helps to inform the project aim, objective, and issues in a …
segments. The first segment helps to inform the project aim, objective, and issues in a …
Employing Deep Reinforcement Learning to Cyber-Attack Simulation for Enhancing Cybersecurity
In the current landscape where cybersecurity threats are escalating in complexity and
frequency, traditional defense mechanisms like rule-based firewalls and signature-based …
frequency, traditional defense mechanisms like rule-based firewalls and signature-based …