Intrusion response systems for cyber-physical systems: A comprehensive survey

M Bashendy, A Tantawy, A Erradi - Computers & Security, 2023 - Elsevier
Abstract Cyberattacks on Cyber-Physical Systems (CPS) are on the rise due to CPS
increased networked connectivity and may cause costly environmental hazards as well as …

A review of techniques and policies on cybersecurity using artificial intelligence and reinforcement learning algorithms

NE Fard, RR Selmic, K Khorasani - IEEE Technology and …, 2023 - ieeexplore.ieee.org
Cybersecurity is a critical process that safeguards networks, systems, and applications
against cyber-attacks, wherein digital information is targeted for unauthorized access …

[PDF][PDF] The Role of Reinforcement Learning in Dynamic Cyber Defense Strategies

BR Maddireddy, BR Maddireddy - International Journal of Advanced …, 2024 - ijaeti.com
Reinforcement Learning (RL) is emerging as a critical component in the developmentof
dynamic cyber defense strategies. As cyber threats become increasingly sophisticated …

A hybrid model-free approach for the near-optimal intrusion response control of non-stationary systems

S Iannucci, V Cardellini, OD Barba… - Future Generation …, 2020 - Elsevier
Given the always increasing size of computer systems, manually protecting them in case of
attacks is unfeasible and error-prone. For this reason, until now, several model-based …

Reinforcement learning for feedback-enabled cyber resilience

Y Huang, L Huang, Q Zhu - Annual reviews in control, 2022 - Elsevier
The rapid growth in the number of devices and their connectivity has enlarged the attack
surface and made cyber systems more vulnerable. As attackers become increasingly …

Model-based response planning strategies for autonomic intrusion protection

S Iannucci, S Abdelwahed - ACM Transactions on Autonomous and …, 2018 - dl.acm.org
The continuous increase in the quantity and sophistication of cyberattacks is making it more
difficult and error prone for system administrators to handle the alerts generated by intrusion …

[HTML][HTML] Security analysis of cyber-physical systems using reinforcement learning

M Ibrahim, R Elhafiz - Sensors, 2023 - mdpi.com
Future engineering systems with new capabilities that far exceed today's levels of autonomy,
functionality, usability, dependability, and cyber security are predicted to be designed and …

[HTML][HTML] From intrusion detection to an intrusion response system: fundamentals, requirements, and future directions

S Anwar, J Mohamad Zain, MF Zolkipli, Z Inayat… - algorithms, 2017 - mdpi.com
In the past few decades, the rise in attacks on communication devices in networks has
resulted in a reduction of network functionality, throughput, and performance. To detect and …

A Comprehensive Survey: Evaluating the Efficiency of Artificial Intelligence and Machine Learning Techniques on Cyber Security Solutions

M Ozkan-Ozay, E Akin, Ö Aslan, S Kosunalp… - IEEE …, 2024 - ieeexplore.ieee.org
Given the continually rising frequency of cyberattacks, the adoption of artificial intelligence
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …

Autonomous mitigation of cyber risks in the Cyber–Physical Systems

HA Kholidy - Future Generation Computer Systems, 2021 - Elsevier
Abstract The Cyber–Physical Systems (CPS) attacks and vulnerabilities are increasing and
the consequences of such attacks can be catastrophic. The CPS needs to be self-resilient to …