Hybrid Rule-Based Model for Phishing URLs Detection

Author:

Adewole Kayode S.,Akintola Abimbola G.,Salihu Shakirat A.,Faruk Nasir,Jimoh Rasheed G.

Publisher

Springer International Publishing

Reference23 articles.

1. Abdelhamid, N., Ayesh, A., Thabtah, F.: Phishing detection based associative classification data mining. Expert Syst. Appl. 41(13), 5948–5959 (2014)

2. Dhamija, R., Tygar, J.D., Hearst, M.: Why phishing works. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM (2006)

3. He, Q., Ma, X.: A large-scale URL filtering algorithm in high-speed flow. In: Proceedings of 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 (2017)

4. Advances in Intelligent Systems and Computing;WNW Manan,2019

5. Jayakanthan, N., Ramani, A.V., Ravichandran, M.: Two phase classification model to detect malicious URLs. Int. J. Appl. Eng. Res. 12(9), 1893–1898 (2017)

Cited by 20 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. Phishing Email Detection Model Using Deep Learning;Electronics;2023-10-15

2. A high-accuracy phishing website detection method based on machine learning;Journal of Information Security and Applications;2023-09

3. A Comparison of Machine Learning Algorithms for Multilingual Phishing Detection;2023 20th Annual International Conference on Privacy, Security and Trust (PST);2023-08-21

4. Explaining URL Phishing Detection by Glass Box Models;Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing;2023-08-03

5. A Lightweight Multi-View Learning Approach for Phishing Attack Detection Using Transformer with Mixture of Experts;Applied Sciences;2023-06-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3