A survey on deep learning for cybersecurity: Progress, challenges, and opportunities

M Macas, C Wu, W Fuertes - Computer Networks, 2022 - Elsevier
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

Resilient machine learning for networked cyber physical systems: A survey for machine learning security to securing machine learning for CPS

FO Olowononi, DB Rawat, C Liu - … Communications Surveys & …, 2020 - ieeexplore.ieee.org
Cyber Physical Systems (CPS) are characterized by their ability to integrate the physical and
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …

A survey on network security for cyber–physical systems: From threats to resilient design

S Kim, KJ Park, C Lu - IEEE Communications Surveys & …, 2022 - ieeexplore.ieee.org
Cyber-physical systems (CPS) are considered the integration of physical systems in the real
world and control software in computing systems. In CPS, the real world and the computing …

Cybersecurity attacks in vehicular sensors

Z El-Rewini, K Sadatsharan, N Sugunaraj… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Today's modern vehicles contain anywhere from sixty to one-hundred sensors and exhibit
the characteristics of Cyber-Physical-Systems (CPS). There is a high degree of coupling …

[图书][B] Reinforcement learning for cyber-physical systems: with cybersecurity case studies

C Li, M Qiu - 2019 - taylorfrancis.com
Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was
inspired by recent developments in the fields of reinforcement learning (RL) and cyber …

Cyber attacks in cyber-physical microgrid systems: A comprehensive review

S Suprabhath Koduru, VSP Machina, S Madichetty - Energies, 2023 - mdpi.com
The importance of and need for cyber security have increased in the last decade. The critical
infrastructure of the country, modeled with cyber-physical systems (CPS), is becoming …

Real-time adaptive sensor attack detection in autonomous cyber-physical systems

F Akowuah, F Kong - 2021 IEEE 27th real-time and embedded …, 2021 - ieeexplore.ieee.org
Cyber-Physical Systems (CPS) tightly couple information technology with physical
processes, which rises new vulnerabilities such as physical attacks that are beyond …

Hybrid DeepGCL model for cyber-attacks detection on cyber-physical systems

R Alguliyev, Y Imamverdiyev, L Sukhostat - Neural Computing and …, 2021 - Springer
The urgency of solving the problem of ensuring the security of cyber-physical systems is due
to ensure their correct functioning. Cyber-physical system applications have a significant …

Cyber-physical attack detection and recovery based on RNN in automotive brake systems

J Shin, Y Baek, J Lee, S Lee - Applied Sciences, 2018 - mdpi.com
The violation of data integrity in automotive Cyber-Physical Systems (CPS) may lead to
dangerous situations for drivers and pedestrians in terms of safety. In particular, cyber …

Sensor attack detection and isolation based on sliding mode observer for cyber‐physical systems

L Ye, F Zhu, J Zhang - … Journal of Adaptive Control and Signal …, 2020 - Wiley Online Library
This article investigates the sensor attack detection and isolation problems for cyber‐
physical systems under attacked situation. To begin with, an overall system is constructed for …