[HTML][HTML] A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions
The Internet of Things (IoT) is poised to impact several aspects of our lives with its fast
proliferation in many areas such as wearable devices, smart sensors and home appliances …
proliferation in many areas such as wearable devices, smart sensors and home appliances …
A holistic review of network anomaly detection systems: A comprehensive survey
N Moustafa, J Hu, J Slay - Journal of Network and Computer Applications, 2019 - Elsevier
Abstract Network Anomaly Detection Systems (NADSs) are gaining a more important role in
most network defense systems for detecting and preventing potential threats. The paper …
most network defense systems for detecting and preventing potential threats. The paper …
A survey on cyber security threats in IoT-enabled maritime industry
Impressive technological advancements over the past decades commenced significant
advantages in the maritime industry sector and elevated commercial, operational, and …
advantages in the maritime industry sector and elevated commercial, operational, and …
Novel deep learning-enabled LSTM autoencoder architecture for discovering anomalous events from intelligent transportation systems
Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …
Machine learning-based intrusion detection for smart grid computing: A survey
Machine learning (ML)-based intrusion detection system (IDS) approaches have been
significantly applied and advanced the state-of-the-art system security and defense …
significantly applied and advanced the state-of-the-art system security and defense …
Anonymous and privacy-preserving federated learning with industrial big data
Many artificial intelligence technologies have been applied for extracting useful information
from massive industrial big data. However, the privacy issues are usually overlooked in …
from massive industrial big data. However, the privacy issues are usually overlooked in …
Detection of power grid disturbances and cyber-attacks based on machine learning
Modern intelligent power grid provides an efficient way of managing energy supply and
consumption while facing numerous security threats at the same time. Both natural and man …
consumption while facing numerous security threats at the same time. Both natural and man …
Gradient boosting feature selection with machine learning classifiers for intrusion detection on power grids
D Upadhyay, J Manero, M Zaman… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Smart grids rely on SCADA (Supervisory Control and Data Acquisition) systems to monitor
and control complex electrical networks in order to provide reliable energy to homes and …
and control complex electrical networks in order to provide reliable energy to homes and …
BIoTHR: Electronic health record servicing scheme in IoT-blockchain ecosystem
The pervasiveness of newly introduced Internet-of-Things (IoT) devices has opened up new
opportunities in healthcare systems, for example in facilitating remote patient monitoring …
opportunities in healthcare systems, for example in facilitating remote patient monitoring …
Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems
Abstract Industrial Internet of Things (IIoT) networks involves heterogeneous technological
and manufacturing services and devices. The communication and data exchange …
and manufacturing services and devices. The communication and data exchange …