[HTML][HTML] Applications of wireless sensor networks and internet of things frameworks in the industry revolution 4.0: A systematic literature review
The 21st century has seen rapid changes in technology, industry, and social patterns. Most
industries have moved towards automation, and human intervention has decreased, which …
industries have moved towards automation, and human intervention has decreased, which …
[HTML][HTML] Cyber risk and cybersecurity: a systematic review of data availability
Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020,
indicating an increase of more than 50% since 2018. With the average cyber insurance …
indicating an increase of more than 50% since 2018. With the average cyber insurance …
[HTML][HTML] Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …
wide range of smart and connected devices and applications in several domains, such as …
[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) …
A regularized cross-layer ladder network for intrusion detection in industrial internet of things
As part of Big Data trends, the ubiquitous use of the Internet of Things (IoT) in the industrial
environment has generated a significant amount of network traffic. In this type of IoT …
environment has generated a significant amount of network traffic. In this type of IoT …
DANTD: a deep abnormal network traffic detection model for security of industrial internet of things using high-order features
G Shi, X Shen, F Xiao, Y He - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the development of blockchain, artificial intelligence, and data mining technology,
abnormal network traffic data has become easy to obtain. The traffic detection model detects …
abnormal network traffic data has become easy to obtain. The traffic detection model detects …
A taxonomy of security issues in Industrial Internet-of-Things: Scoping review for existing solutions, future implications, and research challenges
Industrial Internet of Things (IIoTs) are the extensions of the Internet of Things (IoTs) and
have paved the way towards the industry revolution 4.0. IIoT accelerates the industry …
have paved the way towards the industry revolution 4.0. IIoT accelerates the industry …
Deep generative models in the industrial internet of things: a survey
S De, M Bermudez-Edo, H Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Advances in communication technologies and artificial intelligence are accelerating the
paradigm of industrial Internet of Things (IIoT). With IIoT enabling continuous integration of …
paradigm of industrial Internet of Things (IIoT). With IIoT enabling continuous integration of …
Feature analysis for machine learning-based IoT intrusion detection
Internet of Things (IoT) networks have become an increasingly attractive target of
cyberattacks. Powerful Machine Learning (ML) models have recently been adopted to …
cyberattacks. Powerful Machine Learning (ML) models have recently been adopted to …
[HTML][HTML] An exhaustive research on the application of intrusion detection technology in computer network security in sensor networks
Intrusion detection is crucial in computer network security issues; therefore, this work is
aimed at maximizing network security protection and its improvement by proposing various …
aimed at maximizing network security protection and its improvement by proposing various …