SI-BBA – A novel phishing website detection based on Swarm intelligence with deep learning
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference35 articles.
1. Adebowale, M.A.,Lwin, K.T.andHossain, M.A.(2020), “Intelligent phishing detection scheme using deep learning algorithms”,Journal of Enterprise Information Management, Vol. ahead-of-print No. ahead-of-print.https://doi.org/10.1108/JEIM-01-2020-0036.
2. Adriana-Cristina Enache, Valentin Sgârciu and Alina Petrescu-Ni¸ta “Intelligent Feature Selection Method rooted in Binary Bat Algorithm for Intrusion Detection”, Applied Computational Intelligence and Informatics (SACI), 2015 IEEE 10th Jubilee International Symposium on At: Timisoara, Volume: IEEE, DOI: 10.1109/SACI.2015.7208259.
3. Aksu D., Turgut Z., Üstebay S., Aydin M.A. (2019) Phishing Analysis of Websites Using Classification Techniques. In: Boyaci A., Ekti A., Aydin M., Yarkan S. (eds) International Telecommunications Conference. Lecture Notes in Electrical Engineering, vol 504. Springer, Singapore. https://doi.org/10.1007/978-981-13-0408-8_21
4. Alloghani M., Al-Jumeily D., Hussain A., Mustafina J., Baker T., Aljaaf A.J. (2020) Implementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks. In: Yang XS., He XS. (eds) Nature-Inspired Computation in Data Mining and Machine Learning. Studies in Computational Intelligence, vol 855. Springer, Cham. https://doi.org/10.1007/978-3-030-28553-1_3
5. Arun Kulkarni, Leonard L. Brown, “Phishing Websites Detection using Machine Learning”, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 10, No. 7, 2019.
Cited by 14 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. Comparative Analysis of Nature-Inspired Metaheuristic Techniques for Optimizing Phishing Website Detection;Analytics;2024-08-06
2. A comprehensive literature review on phishing URL detection using deep learning techniques;Journal of Cyber Security Technology;2024-07-23
3. Determining the Efficacy of Machine Learning Strategies in Quelling Cyber Security Threats: Evidence from Selected Literatures;Asian Journal of Research in Computer Science;2024-07-13
4. Exploring the Efficacy of Federated-Continual Learning Nodes with Attention-Based Classifier for Robust Web Phishing Detection: An Empirical Investigation;2024 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI);2024-06-21
5. Swift Detection of XSS Attacks: Enhancing XSS Attack Detection by Leveraging Hybrid Semantic Embeddings and AI Techniques;Arabian Journal for Science and Engineering;2024-06-03
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