A review on security of smart farming and precision agriculture: Security aspects, attacks, threats and countermeasures
In recent years, Smart Farming (SF) and Precision Agriculture (PA) have attracted attention
from both the agriculture industry as well as the research community. Altogether, SF and PA …
from both the agriculture industry as well as the research community. Altogether, SF and PA …
Web3 challenges and opportunities for the market
D Sheridan, J Harris, F Wear, J Cowell Jr… - arXiv preprint arXiv …, 2022 - arxiv.org
The inability of a computer to think has been a limiter in its usefulness and a point of
reassurance for humanity since the first computers were created. The semantic web is the …
reassurance for humanity since the first computers were created. The semantic web is the …
[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) …
Federated learning for drone authentication
The ever-rising applications of drones in the Internet of Things (IoT) era is offering many
opportunities and challenges. Owing to drone abilities (silent flying, capturing photos and …
opportunities and challenges. Owing to drone abilities (silent flying, capturing photos and …
[HTML][HTML] Accurate threat hunting in industrial internet of things edge devices
Abstract Industrial Internet of Things (IIoT) systems depend on a growing number of edge
devices such as sensors, controllers, and robots for data collection, transmission, storage …
devices such as sensors, controllers, and robots for data collection, transmission, storage …
Web3: The next internet revolution
Since the first appearance of the World Wide Web, people more rely on the Web for their
cyber social activities. The second phase of World Wide Web, named Web 2.0, has been …
cyber social activities. The second phase of World Wide Web, named Web 2.0, has been …
Network intrusion detection based on IE-DBN model
H Jia, J Liu, M Zhang, X He, W Sun - Computer Communications, 2021 - Elsevier
Existing network intrusion detection models suffer such problems as low detection accuracy
and high false alarm rates in face of massive data traffic. Deep-learning models provide a …
and high false alarm rates in face of massive data traffic. Deep-learning models provide a …
An efficient packet parser architecture for software-defined 5g networks
Software-defined networks (SDN) has emerged with the capability to program in order to
enhance flexibility, management, and testing of new ideas in the next generation of networks …
enhance flexibility, management, and testing of new ideas in the next generation of networks …
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 …
Intrusion Detection System in Software-Defined Networks Using Machine Learning and Deep Learning Techniques--A Comprehensive Survey
At present, the Internet is facing numerous attacks of different kinds that put its data at risk.
The safety of information within the network is, therefore, a significant concern. To prevent …
The safety of information within the network is, therefore, a significant concern. To prevent …