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 comprehensive survey on DDoS defense systems: New trends and challenges

Q Li, H Huang, R Li, J Lv, Z Yuan, L Ma, Y Han… - Computer Networks, 2023 - Elsevier
In the past ten years, the source of DDoS has migrated to botnets composed of IoT devices.
The scale of DDoS attacks increases dramatically with the number of IoT devices. New …

DeepAir: Deep reinforcement learning for adaptive intrusion response in software-defined networks

TV Phan, T Bauschert - IEEE Transactions on Network and …, 2022 - ieeexplore.ieee.org
In this paper, we propose an adaptive intrusion response solution based on deep
reinforcement learning, namely DeepAir, to effectively defend against cyber-attacks in …

A bio-inspired reaction against cyberattacks: AIS-powered optimal countermeasures selection

P Nespoli, FG Mármol, JM Vidal - IEEE Access, 2021 - ieeexplore.ieee.org
Nowadays, Information and Communication Technology (ICT) infrastructures play a crucial
role for human beings, providing essential services at astonishing speed. Nevertheless …

[HTML][HTML] irs-partition: An Intrusion Response System utilizing Deep Q-Networks and system partitions

V Cardellini, E Casalicchio, S Iannucci, M Lucantonio… - SoftwareX, 2022 - Elsevier
Intrusion Response is a relatively new field of research. Recent approaches for the creation
of Intrusion Response Systems (IRSs) use Reinforcement Learning (RL) as a primary …

Decision model of intrusion response based on markov game in fog computing environment

X Ma, Y Li, Y Gao - Wireless Networks, 2023 - Springer
For the current problems of complex network state, difficulty in fast response to intrusion and
poor adaptation of response decision in fog computing environment, in this paper, we …

Interpretable Cross-Layer Intrusion Response System Based on Deep Reinforcement Learning for Industrial Control Systems

H Chen, Y Lai, J Liu, H Wanyan - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Owing to the increasing number of cybersecurity threats targeting industrial control systems
(ICSs), intrusion response systems (IRSs) have become essential. However, the current …

Intrusion Response Systems for the 5G Networks and Beyond: A New Joint Security-vs-QoS Optimization Approach

A Bozorgchenani, CC Zarakovitis… - … on Network Science …, 2024 - ieeexplore.ieee.org
Network connectivity exposes the network infrastructure and assets to vulnerabilities that
attackers can exploit. Protecting network assets against attacks requires the application of …

A Systematic Mapping Study on Intrusion Response Systems

A Rezapour, M GhasemiGol, D Takabi - IEEE Access, 2024 - ieeexplore.ieee.org
With the increasing frequency and sophistication of network attacks, network administrators
are facing tremendous challenges in making fast and optimum decisions during critical …

REACT: Autonomous Intrusion Response System for Intelligent Vehicles

M Hamad, A Finkenzeller, M Kühr, A Roberts… - arXiv preprint arXiv …, 2024 - arxiv.org
Autonomous and connected vehicles are rapidly evolving, integrating numerous
technologies and software. This progress, however, has made them appealing targets for …