Optimization of predictive performance of intrusion detection system using hybrid ensemble...

Unveiling the Landscape of Machine Learning and Deep Learning Methodologies in Network Security: A Comprehensive Literature Review

NMSE Saeed, A Ibrahim, L Ali… - … on Cyber Resilience …, 2024 - ieeexplore.ieee.org
The dynamic nature of cyber threats offers a continual problem in the field of cybersecurity in
the context of the expanding internet environment. This study provides an in-depth …
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[PDF] researchgate.net

A novel data-driven integrated detection method for network intrusion classification based on multi-feature imbalanced data

CH Wang, Q Ye, J Cai, Y Suo, S Lin… - Journal of Intelligent …, 2024 - content.iospress.com
The multi-feature and imbalanced nature of network data has always been a challenge to be
overcome in the field of network intrusion detection. The redundant features in data could …
被引用次数：2 相关文章 所有 3 个版本
[PDF] universitasbumigora.ac.id

A Comparison of Enhanced Ensemble Learning Techniques for Internet of Things Network Attack Detection

E Ismanto, J Al Amien, V Vitriani - MATRIK: Jurnal …, 2024 - journal.universitasbumigora.ac.id
Over the past few decades, the Internet of Things (IoT) has become increasingly significant
due to its capacity to enable low-cost device and sensor communication. Implementation …
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[PDF] ustb.edu.cn

基于DeepInsight 和迁移学习的入侵检测技术研究

刘文琪， 葛红娟， 闫洁， 李煌， 李诗佳 - 工程科学学报 - cje.ustb.edu.cn
针对入侵检测研究中, 入侵检测训练样本较少, 样本不平衡等问题, 本文提出一种基于
DeepInsight 和迁移学习的入侵检测方法DI-TL-CNN (DeepInsight-Transfer learning …
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[PDF] sjcjycl.cn

[PDF][PDF] A NOVEL ANN-BASED SUPPORT VECTOR MACHINE FOR IMPROVING CLASSIFICATION ACCURACY IN INTRUSION DETECTION SYSTEMS

C Mallaradhya, GNKS Babu - Journal of Data Acquisition and Processing, 2024 - sjcjycl.cn
In today's interconnected world, the security of computer networks is paramount to
safeguarding sensitive information and maintaining the integrity of digital assets. However …
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