Malicious URLs Detection Based on a Novel Optimization Algorithm-Reference-Cited by-同舟云学术

Malicious URLs Detection Based on a Novel Optimization Algorithm

Published:2021-04-01 Issue:4 Volume:E104.D Page:513-516
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

BO Wang¹²,FANG Zhang B.¹,WEI Liu X.¹,CHENG Zou F.²,HUA Zhang X.³

Affiliation:

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

2. School of Electronic Information and Automation, Aba Teachers University

3. School of Information, Hiroshima Institute of Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E104.D/4/E104.D_2020EDL8147/_pdf

Reference10 articles.

1. [1] O.K. Sahingoz, E. Buber, O. Demir, and B. Diri, “Machine learning based phishing detection from URLs,” Expert Systems with Applications, vol.1171, pp.345-357, 2019. 10.1016/j.eswa.2018.09.029

2. [2] T. Li, G. Kou, and Y. Peng, “Improving malicious URLs detection via feature engineering: Linear and nonlinear space transformation methods,” Information Systems, vol.91, p.101494, 2020. 10.1016/j.is.2020.101494

3. [3] Y. Li, Z. Yang, X. Chen, H. Yuan, and W. Liu, “A stacking model using URL and HTML features for phishing webpage detection,” Future Generation Computer Systems, vol.94, pp.27-39, 2019. 10.1016/j.future.2018.11.004

4. [4] W. Wei, Q. Ke, J. Nowak, M. Korytkowski, and M. Woźniak, “Accurate and fast URL phishing detector: A convolutional neural network approach,” Computer Networks, vol.1784, 107275, 2020.

5. [5] S. Wang, Z. Chen, Q. Yan, K. Ji, and M. Conti, “Deep and broad URL feature mining for android malware detection,” Information Sciences, vol.513, pp.600-613, 2020.

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Context-aware embeddings for robust multiclass fraudulent URL detection in online social platforms;Computers and Electrical Engineering;2024-10

2. Novel Security Metrics for Identifying Risky Unified Resource Locators (URLs);Iranian Journal of Science and Technology, Transactions of Electrical Engineering;2024-05-10

3. An Efficient Hybrid Feature Selection Technique Toward Prediction of Suspicious URLs in IoT Environment;IEEE Access;2024

4. On evolving environment of 2D P colonies: ant colony simulation;Journal of Membrane Computing;2023-07-01

5. Voltage Frequency Ratio Control Method of the Cycloconverter Based on the GSO Algorithm;International Transactions on Electrical Energy Systems;2022-09-05