A hybrid approach for identifying non-human traffic in online digital advertising
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11533-4.pdf
Reference61 articles.
1. Alexopoulos P, Kafentzis K, Benetou X, Tagaris T, Georgolios P (2007) Towards a generic fraud ontology in e-government. In ICE-B 269–276
2. Alhabash S, Mundel J, Hussain SA (2017) Social media advertising: unraveling the mystery box. Digital Advertising. Routledge, England, pp 285–299
3. Ali MA, Azad MA, Centeno MP, Hao F, van Moorsel A (2019) Consumer-facing technology fraud: Economics, attack methods and potential solutions. Futur Gener Comput Syst 100:408–427. https://doi.org/10.1016/j.future.2019.03.041
4. Almahmoud S, Hammo B, Al-Shboul B (2019) Exploring non-human traffic in online digital advertisements: analysis and prediction. In: International Conference on Computational Collective Intelligence. Springer, Cham. pp. 663–675. https://doi.org/10.1007/978-3-030-28374-2_57
5. Alrwais SA, Gerber A, Dunn CW, Spatscheck O, Gupta M, Osterweil E (2012) Dissecting ghost clicks: Ad fraud via misdirected human clicks. In: Proceedings of the 28th Annual Computer Security Applications Conference pp. 21–30. https://doi.org/10.1145/2420950.2420954
Cited by 5 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. Mitigating Phishing Threats in Unmanned Aircraft Systems (UAS) Through Multi-Stage Defense Strategies;Advances in Information Security, Privacy, and Ethics;2024-01-05
2. A transfer learning framework towards identifying behavioral changes of fraudulent publishers in pay-per-click model of online advertising for click fraud detection;Expert Systems with Applications;2023-12
3. Data-driven human and bot recognition from web activity logs based on hybrid learning techniques;Digital Communications and Networks;2023-02
4. An Ensemble Architecture Based on Deep Learning Model for Click Fraud Detection in Pay-Per-Click Advertisement Campaign;IEEE Access;2022
5. Ads and Fraud: A Comprehensive Survey of Fraud in Online Advertising;Journal of Cybersecurity and Privacy;2021-12-16
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