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MEC-enabled 5G use cases: a survey on security vulnerabilities and countermeasures
The future of mobile and internet technologies are manifesting advancements beyond the
existing scope of science. The concepts of automated driving, augmented-reality, and …
existing scope of science. The concepts of automated driving, augmented-reality, and …
Machine learning ddos detection for consumer internet of things devices
An increasing number of Internet of Things (IoT) devices are connecting to the Internet, yet
many of these devices are fundamentally insecure, exposing the Internet to a variety of …
many of these devices are fundamentally insecure, exposing the Internet to a variety of …
An ensemble deep learning-based cyber-attack detection in industrial control system
The integration of communication networks and the Internet of Things (IoT) in Industrial
Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing …
Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing …
Anomaly detection of industrial control systems based on transfer learning
W Wang, Z Wang, Z Zhou, H Deng… - Tsinghua Science …, 2021 - ieeexplore.ieee.org
Industrial Control Systems (ICSs) are the lifeline of a country Therefore, the anomaly
detection of ICS traffic is an important endeavor. This paper proposes a model based on a …
detection of ICS traffic is an important endeavor. This paper proposes a model based on a …
A novel approach for accurate detection of the DDoS attacks in SDN-based SCADA systems based on deep recurrent neural networks
Abstract Supervisory Control and Data Acquisition (SCADA) systems supervise and monitor
critical infrastructures and industrial processes. However, SCADA systems running on …
critical infrastructures and industrial processes. However, SCADA systems running on …
Multi-level anomaly detection in industrial control systems via package signatures and LSTM networks
We outline an anomaly detection method for industrial control systems (ICS) that combines
the analysis of network package contents that are transacted between ICS nodes and their …
the analysis of network package contents that are transacted between ICS nodes and their …
Toward detection and attribution of cyber-attacks in IoT-enabled cyber–physical systems
Securing Internet-of-Things (IoT)-enabled cyber-physical systems (CPS) can be challenging,
as security solutions developed for general information/operational technology (IT/OT) …
as security solutions developed for general information/operational technology (IT/OT) …
HML-IDS: A hybrid-multilevel anomaly prediction approach for intrusion detection in SCADA systems
Critical infrastructures, eg, electricity generation and dispersal networks, chemical
processing plants, and gas distribution, are governed and monitored by supervisory control …
processing plants, and gas distribution, are governed and monitored by supervisory control …
Cyber-attacks detection in industrial systems using artificial intelligence-driven methods
Modern industrial systems and critical infrastructures are constantly exposed to malicious
cyber-attacks that are challenging and difficult to identify. Cyber-attacks can cause severe …
cyber-attacks that are challenging and difficult to identify. Cyber-attacks can cause severe …
Steeleye: An application-layer attack detection and attribution model in industrial control systems using semi-deep learning
The security of Industrial Control Systems is of high importance as they play a critical role in
uninterrupted services provided by Critical Infrastructure operators. Due to a large number of …
uninterrupted services provided by Critical Infrastructure operators. Due to a large number of …