Research on an identification method for gas disaster risk based on the selective ensemble classification model
R Liang, Q Lv, P Jia, Z Zhao, C Xu - ACS omega, 2021 - ACS Publications
To improve the accuracy of gas disaster risk identification, a selective ensemble
classification model is proposed based on clustering selection and a new degree of …
classification model is proposed based on clustering selection and a new degree of …
基于多特征融合的Webshell 恶意流量检测方法
李源， 王运鹏， 李涛， 马宝强 - 网络与信息安全学报, 2021 - infocomm-journal.com
Webshell 是针对Web 应用系统进行持久化控制的最常用恶意后门程序, 对Web
服务器安全运行造成巨大威胁. 对于Webshell 检测的方法大多通过对整个请求包数据进行训练 …
服务器安全运行造成巨大威胁. 对于Webshell 检测的方法大多通过对整个请求包数据进行训练 …
[PDF][PDF] http://eprints. gla. ac. uk/163013
Voting is a commonly used ensemble method aiming to optimize classification predictions
by combining results from individual base classifiers. However, the selection of appropriate …
by combining results from individual base classifiers. However, the selection of appropriate …
Webshell malicious traffic detection method based on multi-feature fusion.
LI Yuan, W Yunpeng, LI Tao… - Chinese Journal of …, 2021 - search.ebscohost.com
Webshell is the most common malicious backdoor program for persistent control of Web
application systems, which poses a huge threat to the safe operation of Web servers. For …
application systems, which poses a huge threat to the safe operation of Web servers. For …
A Novel Optimal Configuration of Neural Networks by Multi-Objective Genetic Algorithm and Ensemble-classifier approach
K Abd Ghan, J Kh-Madhloom, MJ Kadhim - Al-Kut University College Journal, 2021 - iasj.net
Abstract Machine learning algorithms have been a hallmark of data mining in image and
signal processing. Several studies have proposed various methods for improving …
signal processing. Several studies have proposed various methods for improving …