IEICE TRANSACTIONS on Information
Malicious URLs Detection Based on a Novel Optimization Algorithm
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E104-D No.4 pp.513-516
- Publication Date
- 2021/04/01
- Publicized
- 2021/01/14
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2020EDL8147
- Type of Manuscript
- LETTER
- Category
- Information Network
Authors
Wang BO
Xihua University,Aba Teachers University
Zhang B. FANG
Xihua University
Liu X. WEI
Xihua University
Zou F. CHENG
Aba Teachers University
Zhang X. HUA
Hiroshima Institute of Technology
Keyword
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Wang BO, Zhang B. FANG, Liu X. WEI, Zou F. CHENG, Zhang X. HUA, "Malicious URLs Detection Based on a Novel Optimization Algorithm" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 4, pp. 513-516, April 2021, doi: 10.1587/transinf.2020EDL8147.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDL8147/_p
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@ARTICLE{e104-d_4_513,
author={Wang BO, Zhang B. FANG, Liu X. WEI, Zou F. CHENG, Zhang X. HUA, },
journal={IEICE TRANSACTIONS on Information},
title={Malicious URLs Detection Based on a Novel Optimization Algorithm},
year={2021},
volume={E104-D},
number={4},
pages={513-516},
abstract={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.},
keywords={},
doi={10.1587/transinf.2020EDL8147},
ISSN={1745-1361},
month={April},}
Copy
TY - JOUR
TI - Malicious URLs Detection Based on a Novel Optimization Algorithm
T2 - IEICE TRANSACTIONS on Information
SP - 513
EP - 516
AU - Wang BO
AU - Zhang B. FANG
AU - Liu X. WEI
AU - Zou F. CHENG
AU - Zhang X. HUA
PY - 2021
DO - 10.1587/transinf.2020EDL8147
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2021
AB - 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.
ER -
English
