Malicious URLs detection based on a novel optimization algorithm

被引：0

作者：

Bo W. ^{[1
,2
]}

Fang Z.B. ^{[1
]}

Wei L.X. ^{[1
]}

Cheng Z.F. ^{[2
]}

Hua Z.X. ^{[3
]}

机构：

[1] School of Electrical Engineering and Electronic Information, Xihua University, Chengdu

[2] School of Electronic Information and Automation, Aba Teachers University, Sichuan

[3] School of Information, Hiroshima Institute of Technology, Hiroshima-shi

来源：

IEICE Transactions on Information and Systems | 2021年 / E104.D卷 / 04期

关键词：

Neural network; Optimization; URLs detection;

D O I：

10.1587/TRANSINF.2020EDL8147

中图分类号：

学科分类号：

摘要：

SUMMARY In this paper, the issue of malicious URL detection is investigated. Firstly a P system is proposed. Then the new P system is introduced to design the optimization algorithm of BP neural network to achieve the malicious URL detection with better performance. In the end some examples are included and corresponding experimental results display the advantage and effectiveness of the optimization algorithm proposed. © 2021 Institute of Electronics, Information and Communication, Engineers, IEICE. All rights reserved.

引用

页码：513 / 516

页数：3

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