A Study on the Detection Method for Malicious URLs Based on a Number of Search Results Matching the Internet Search Engines Combining the Machine Learning-Reference-Cited by-同舟云学术

A Study on the Detection Method for Malicious URLs Based on a Number of Search Results Matching the Internet Search Engines Combining the Machine Learning

Published:2021-09-20 Issue:1 Volume:17 Page:617-626
ISSN:1975-0102
Container-title:Journal of Electrical Engineering & Technology
language:en
Short-container-title:J. Electr. Eng. Technol.

Author:

Jang Minhae,Song Jaeju,Kim Myongsoo^ORCID

Funder

Korea Electric Power Corporation

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42835-021-00888-1.pdf

Reference29 articles.

1. Sahingoz OK, Buber E, Demir O, Diri B (2019) Machine learning based phishing detection from URLs. Expert Syst Appl 117:345–357

2. Sonowal G, Kuppusamy KS (2018) SmiDCA: an anti-smishing model with machine learning approach. Comput J 61(8):1143–1157

3. Darling M, Heileman G, Gressel G, Ashok A, Poornachandran P (2015) “A lexical approach for classifying malicious URLs. In: 2015 IEEE International Conference on High Performance Computing & Simulation (HPCS) pp 195–202. 10.1109.HPCSim.2015.7237040

4. Prakash P, Kumar M, Kompella RR, Gupta M (2010) PhishNet: predictive blacklisting to detect phishing attacks” mini-conference at IEEE INFOCOM pp 1–5. https://doi.org/10.1109/INFCOM.2010.5462216.

5. Sun B, Akiyama M, Yagi T, Hatada M, Mori T (2015) AutoBLG: Automatic URL blacklist generator using search space expansion and filters. In: 2015 IEEE Symposium on Computers and Communication(ISCC) 625–631. https://doi.org/10.1109/ISCC.2015.7405584.

Cited by 3 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. Research on motion control method of double rear wheel independent drive robot;Journal of Electronic Imaging;2022-11-23

2. Dynamic Web Page Graphic Design Method for Internet Big Data Information System;Mathematical Problems in Engineering;2022-08-05

3. Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion;Security and Communication Networks;2022-07-15