Henry MaxNet: tversky index based feature selection and competitive swarm henry gas solubility optimization integrated Deep Maxout network for intrusion detection in IoT

Boopathi, Mythili

doi:10.1007/s41315-022-00234-2

Cited by 3 publications

(1 citation statement)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Intrusion detection technology is an active security defense strategy, which can actively detect and identify abnormal behaviors in network access data. It is an important security defense measure deployed behind the firewall and is the second firewall for system security [12][13][14]. e Internet is only a small part of the huge industrial Internet of things system [15].…”

Section: Related Workmentioning

confidence: 99%

Network Intrusion Detection Method Based on Multi-Scale CNN in Internet of Things

Yin

Chen

2022

Mobile Information Systems

View full text Add to dashboard Cite

Network intrusion detection is a powerful means to identify and analyze the state of the Internet of things. For the reliability requirements of the Internet of things, an intrusion detection analysis method of the Internet of things based on a deep network model is proposed. First, based on the Inception network architecture as the backbone network, this method constructs a multi-scale convolutional neural network (M-CNN) intrusion detection analysis network model. The long-term and short-term memory network models are introduced into M-CNN to enhance the local feature extraction ability of the model. At the same time, batch normalization and global average pooling layers are introduced to make the data distribution of each layer uniform, reduce the model training time, reduce the model calculation gradient, and further improve the efficiency of the network. The simulation experiment takes the KDDcup99 data set as an example, and the results show that the M-CNN intrusion detection model can achieve better results. The precision P r e and recall R e of the detection model are 93.90% and 93.59%, respectively.

show abstract

Section: Related Workmentioning

confidence: 99%

Network Intrusion Detection Method Based on Multi-Scale CNN in Internet of Things

Yin

Chen

2022

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

An empirical study for the traffic flow rate prediction-based anomaly detection in software-defined networking: a challenging overview

Raja¹,

Vegad²

2023

Soc. Netw. Anal. Min.

View full text Add to dashboard Cite

Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications

El-Shorbagy,

Bouaouda,

Nabwey

et al. 2024

IEEE Access

View full text Add to dashboard Cite

The Henry Gas Solubility Optimization (HGSO) is a physics-based metaheuristic inspired by Henry's law, which describes the solubility of the gas in a liquid under specific pressure conditions. Since its introduction by Hashim et al. in 2019, HGSO has gained significant attention for its unique features, including minimal adaptive parameters and a balanced exploration-exploitation trade-off, leading to favorable convergence. This study provides an up-to-date survey of HGSO, covering the walk through the historical development of HGSO, its modifications, and hybridizations with other algorithms, showcasing its adaptability and potential for synergy. Recent variants of HGSO are categorized into modified, hybridized, and multi-objective versions, and the review explores its main applications, demonstrating its effectiveness in solving complex problems. The evaluation includes a discussion of the algorithm's strengths and weaknesses. This comprehensive review, featuring graphical and tabular comparisons, not only indicates potential future directions in the field but also serves as a valuable resource for researchers seeking a deep understanding of HGSO and its advanced versions. As physics-based metaheuristic algorithms gain prominence for solving intricate optimization problems, this study provides insights into the adaptability and applications of HGSO across diverse domains.

show abstract

Henry MaxNet: tversky index based feature selection and competitive swarm henry gas solubility optimization integrated Deep Maxout network for intrusion detection in IoT

Cited by 3 publications

References 32 publications

Network Intrusion Detection Method Based on Multi-Scale CNN in Internet of Things

Network Intrusion Detection Method Based on Multi-Scale CNN in Internet of Things

An empirical study for the traffic flow rate prediction-based anomaly detection in software-defined networking: a challenging overview

Advances in Henry Gas Solubility Optimization: A Physics-Inspired Metaheuristic Algorithm With Its Variants and Applications

Contact Info

Product

Resources

About