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一种混合特征加权的基于注意力的深度学习方法,用于使用随机森林算法检测入侵系统.

Arshad Hashmi1, Omar M Barukab2, Ahmad Hamza Osman1

  • 1Faculty of Computing and Information Technology in Rabigh (FCITR), Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia.

PloS one
|May 23, 2024
PubMed
概括

本研究引入了一种混合模型 (MCL-FWA-BILSTM),通过解决阶级不平衡来改进入侵检测系统 (IDS). 该模型在检测网络攻击方面实现了高精度,大大减少了虚假警报,以提高网络安全.

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Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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