A machine-learning-based technique for false data injection attacks detection in industrial IoT
MMN Aboelwafa, KG Seddik… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The accelerated move toward the adoption of the Industrial Internet-of-Things (IIoT)
paradigm has resulted in numerous shortcomings as far as security is concerned. One of the …
paradigm has resulted in numerous shortcomings as far as security is concerned. One of the …
Anomaly detection using machine learning to discover sensor tampering in IoT systems
With the rapid growth of the Internet of Things (IoT) applications in smart regions/cities, for
example, smart healthcare, smart homes/offices, there is an increase in security threats and …
example, smart healthcare, smart homes/offices, there is an increase in security threats and …
[HTML][HTML] An ensemble deep learning model for cyber threat hunting in industrial internet of things
By the emergence of the fourth industrial revolution, interconnected devices and sensors
generate large-scale, dynamic, and inharmonious data in Industrial Internet of Things (IIoT) …
generate large-scale, dynamic, and inharmonious data in Industrial Internet of Things (IIoT) …
Deep learning-enabled anomaly detection for IoT systems
Abstract Internet of Things (IoT) systems have become an intrinsic technology in various
industries and government services. Unfortunately, IoT devices and networks are known to …
industries and government services. Unfortunately, IoT devices and networks are known to …
Toward accurate anomaly detection in industrial internet of things using hierarchical federated learning
The Industrial Internet of Things (IIoT) is an emerging technology that can promote the
development of industrial intelligence, improve production efficiency, and reduce …
development of industrial intelligence, improve production efficiency, and reduce …
A comprehensive study of anomaly detection schemes in IoT networks using machine learning algorithms
The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …
collection, storage, processing, and communication. The adoption of the IoT has brought …
Real-time detection of false data injection attacks in smart grid: A deep learning-based intelligent mechanism
Application of computing and communications intelligence effectively improves the quality of
monitoring and control of smart grids. However, the dependence on information technology …
monitoring and control of smart grids. However, the dependence on information technology …
False data injection attack (FDIA): an overview and new metrics for fair evaluation of its countermeasure
M Ahmed, ASK Pathan - Complex Adaptive Systems Modeling, 2020 - Springer
The concept of false data injection attack (FDIA) was introduced originally in the smart grid
domain. While the term sounds common, it specifically means the case when an attacker …
domain. While the term sounds common, it specifically means the case when an attacker …
[HTML][HTML] Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches
Attack and anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern
in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …
in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …
APAD: Autoencoder-based payload anomaly detection for industrial IoE
Abstract The Internet of Things era is being replaced by the Internet of Everything (IoE) era,
where everything can communicate with everything else. With the advent of the fourth …
where everything can communicate with everything else. With the advent of the fourth …