Random forest based on federated learning for intrusion detection
Vulnerability of important data is increasing everyday with the constant evolution and
increase of sophisticated cyber security threats that can seriously affect the business …
increase of sophisticated cyber security threats that can seriously affect the business …
Federated learning-based network intrusion detection with a feature selection approach
Y Qin, M Kondo - 2021 International conference on electrical …, 2021 - ieeexplore.ieee.org
With the increase and diversity of network attacks, machine learning has shown its efficiency
in realizing intrusion detection. Federated Learning (FL) has been proposed as a new …
in realizing intrusion detection. Federated Learning (FL) has been proposed as a new …
Ambient intelligence approach: Internet of Things based decision performance analysis for intrusion detection
TV Ramana, M Thirunavukkarasan… - Computer …, 2022 - Elsevier
In recent infrastructures, Internet of Things (IoT) have become an important technology for
connecting various actuators and sensors over wireless networks. Due to increase in …
connecting various actuators and sensors over wireless networks. Due to increase in …
[HTML][HTML] Deep-learning-based approach to detect ICMPv6 flooding DDoS attacks on IPv6 networks
Internet Protocol version six (IPv6) is more secure than its forerunner, Internet Protocol
version four (IPv4). IPv6 introduces several new protocols, such as the Internet Control …
version four (IPv4). IPv6 introduces several new protocols, such as the Internet Control …
[HTML][HTML] Short-term daily reference evapotranspiration forecasting using temperature-based deep learning models in different climate zones in China
L Zhang, X Zhao, G Zhu, J He, J Chen, Z Chen… - Agricultural Water …, 2023 - Elsevier
The reference evapotranspiration (ETo) pertains to the evapotranspiration of cold-season
grasses with an approximate height of 0.12 m or full-covered alfalfa with a height of 0.50 m …
grasses with an approximate height of 0.12 m or full-covered alfalfa with a height of 0.50 m …
Tier-based optimization for synthesized network intrusion detection system
MA Siddiqi, W Pak - IEEE Access, 2022 - ieeexplore.ieee.org
The innovation and evolution of hacking methodologies have led to a sharp rise in cyber
attacks, highlighting the need for enhanced network security approaches. Network intrusion …
attacks, highlighting the need for enhanced network security approaches. Network intrusion …
Precise prognostics of biochar yield from various biomass sources by Bayesian approach with supervised machine learning and ensemble methods
Biomass pyrolysis is a sustainable process for generating biochar from agricultural waste,
though it is generally energy-intensive and time-consuming. To address this issue, the …
though it is generally energy-intensive and time-consuming. To address this issue, the …
DFE: efficient IoT network intrusion detection using deep feature extraction
A Basati, MM Faghih - Neural Computing and Applications, 2022 - Springer
In recent years, the Internet of Things (IoT) has received a lot of attention. It has been used in
many applications such as the control industry, industrial plants, and medicine. In this …
many applications such as the control industry, industrial plants, and medicine. In this …
Reliable machine learning model for IIoT botnet detection
F Taher, M Abdel-Salam, M Elhoseny… - IEEE …, 2023 - ieeexplore.ieee.org
Due to the growing number of Industrial Internet of Things (IoT) devices, network attacks like
denial of service (DoS) and floods are rising for security and reliability issues. As a result of …
denial of service (DoS) and floods are rising for security and reliability issues. As a result of …
Building a cloud-IDS by hybrid bio-inspired feature selection algorithms along with random forest model
The adoption of cloud computing has become increasingly widespread across various
domains. However, the inherent security vulnerabilities of cloud computing pose significant …
domains. However, the inherent security vulnerabilities of cloud computing pose significant …