Malicious URLs Detection Based on a Novel Optimization Algorithm

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...

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Bibliographic Details
Published inIEICE Transactions on Information and Systems Vol. E104.D; no. 4; pp. 513 - 516
Main Authors CHENG, Zou F., BO, Wang, HUA, Zhang X., WEI, Liu X., FANG, Zhang B.
Format Journal Article
LanguageEnglish
Published Tokyo The Institute of Electronics, Information and Communication Engineers 01.04.2021
Japan Science and Technology Agency
Subjects
Algorithms
Design optimization
neural network
Neural networks
optimization
Optimization algorithms
URLs detection
Online AccessGet full text
ISSN0916-8532
1745-1361
1745-1361
DOI10.1587/transinf.2020EDL8147

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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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0916-8532
1745-1361
1745-1361
DOI:10.1587/transinf.2020EDL8147