Malicious URLs Detection Based on a Novel Optimization Algorithm

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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Veröffentlicht in:IEICE Transactions on Information and Systems 2021/04/01, Vol.E104.D(4), pp.513-516
Hauptverfasser: BO, Wang, FANG, Zhang B., WEI, Liu X., CHENG, Zou F., HUA, Zhang X.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Design optimization
neural network
Neural networks
optimization
Optimization algorithms
URLs detection
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Beschreibung
Zusammenfassung: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.
ISSN:0916-8532
1745-1361
DOI:10.1587/transinf.2020EDL8147