Forget the myth of the air gap: Machine learning for reliable intrusion detection in SCADA systems
RL Perez, F Adamsky, R Soua… - … Transactions on Security …, 2019 - publications.eai.eu
Abstract Since Critical Infrastructures (CIs) use systems and equipment that are separated
by long distances, Supervisory Control And Data Acquisition (SCADA) systems are used to …
by long distances, Supervisory Control And Data Acquisition (SCADA) systems are used to …
Toward a Reliable Network-Based Intrusion Detection Model for SCADA: A Classification with Reject Option Approach
Industrial control systems (ICS) are often targeted by highly motivated attackers seeking to
disrupt their services due to its critical nature. Traditional cybersecurity does not provide the …
disrupt their services due to its critical nature. Traditional cybersecurity does not provide the …
A taxonomy of supervised learning for idss in scada environments
Supervisory Control and Data Acquisition (SCADA) systems play an important role in
monitoring industrial processes such as electric power distribution, transport systems, water …
monitoring industrial processes such as electric power distribution, transport systems, water …
One-class classification for cyber intrusion detection in industrial systems
P Nader - 2015 - theses.hal.science
The security of critical infrastructures has been an interesting topic recently with the
increasing risk of cyber-attacks and terrorist threats against these systems. The majority of …
increasing risk of cyber-attacks and terrorist threats against these systems. The majority of …
A review of research work on network-based scada intrusion detection systems
SVB Rakas, MD Stojanović… - IEEE Access, 2020 - ieeexplore.ieee.org
Specific intrusion detection systems (IDSs) are needed to secure modern supervisory control
and data acquisition (SCADA) systems due to their architecture, stringent real-time …
and data acquisition (SCADA) systems due to their architecture, stringent real-time …
Implementing scada scenarios and introducing attacks to obtain training data for intrusion detection methods
Cyber-attacks on industrial companies have increased in the last years. The Industrial
Internet of Things increases production efficiency, at the cost of an enlarged attack surface …
Internet of Things increases production efficiency, at the cost of an enlarged attack surface …
Leveraging Deep Reinforcement Learning Technique for Intrusion Detection in SCADA Infrastructure
F Mesadieu, D Torre, A Chennameneni - IEEE Access, 2024 - ieeexplore.ieee.org
The prevalence of cyber-attacks perpetrated over the last two decades, including
coordinated attempts to breach targeted organizations, has drastically and systematically …
coordinated attempts to breach targeted organizations, has drastically and systematically …
[HTML][HTML] Autoencoder based anomaly detection for SCADA networks
Supervisory control and data acquisition (SCADA) systems are industrial control systems
that are used to monitor critical infrastructures such as airports, transport, health, and public …
that are used to monitor critical infrastructures such as airports, transport, health, and public …
[图书][B] A new scada dataset for intrusion detection research
IP Turnipseed - 2015 - search.proquest.com
Abstract Supervisory Control and Data Acquisition (SCADA) systems monitor and control
industrial control systems in many industrials and economic sectors which are considered …
industrial control systems in many industrials and economic sectors which are considered …
SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection
The industrial internet of things (IIoT) and supervisory control and data acquisition (SCADA)
have experienced ubiquitous growth recently. This growth comes with the challenge of an …
have experienced ubiquitous growth recently. This growth comes with the challenge of an …