Advances in Computer and Communication

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URL Security Detection on the Basis of a New Optimization Algorithm

B. Wang 1,2,*, B. F. Zhang 1, X. W. Liu 1, S. M. Zhong 2

1 School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, 610039, China.

2 School of Applied Mathematics, University Electronic Science and Technology of China, Chengdu 610054, China.

*Corresponding author: B. Wang

Published: September 28,2020


In this paper, the issue on URL security detection is investigated. Considering the problems about local optimization and speed, chaotic mapping is introduced into PSO to design the optimization algorithm for BP neural network to achieve URL security detection with better performance. Some typical experimental examples are included and corresponding results display the advantage and effectiveness of the optimization algorithm proposed.


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How to cite this paper

URL Security Detection on the Basis of a New Optimization Algorithm

How to cite this paper: B. Wang, B. F. Zhang, X. W. Liu, S. M. Zhong. (2020) URL Security Detection on the Basis of a New Optimization Algorithm. Advances in Computer and Communication, 1(1), 1-6.