Applications of deep learning for phishing detection: a systematic literature review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10115-022-01672-x.pdf
Reference121 articles.
1. Abed W, Sharma S, Sutton R, Motwani A (2015) A robust bearing fault detection and diagnosis technique for brushless DC motors under non-stationary operating conditions. J Control Autom Electr Syst 26(3):241–254
2. Adebowale MA, Lwin KT, Hossain MA (2020) Intelligent phishing detection scheme using deep learning algorithms. J Enterp Inf Manag. https://doi.org/10.1108/JEIM-01-2020-0036
3. Ali NB, Petersen K (2014) Evaluating strategies for study selection in systematic literature studies. In: Proceedings of the 8th ACM/IEEE international symposium on empirical software engineering and measurement, pp 1–4
4. Aljofey A, Jiang Q, Qu Q, Huang M, Niyigena JP (2020) An effective phishing detection model based on character level convolutional neural network from URL. Electronics 9(9):1514
5. Almomani A (2018) Fast-flux hunter: a system for filtering online fast-flux botnet. Neural Comput Appl 29(7):483–493
Cited by 43 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. Enhanced Feature Selection Using Genetic Algorithm for Machine-Learning-Based Phishing URL Detection;Applied Sciences;2024-07-12
2. A computational deep learning approach for establishing long-term declarative episodic memory through one-shot learning;Computers in Human Behavior;2024-07
3. Verification of Genuineness of Educational Internet Resources Using Machine Learning Methods;2024 4th International Conference on Technology Enhanced Learning in Higher Education (TELE);2024-06-20
4. BadLabel: A Robust Perspective on Evaluating and Enhancing Label-Noise Learning;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-06
5. Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions;Neurocomputing;2024-05
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