AI-based techniques for Ad click fraud detection and prevention: Review and research directions

RA Alzahrani, M Aljabri - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
Online advertising is a marketing approach that uses numerous online channels to target
potential customers for businesses, brands, and organizations. One of the most serious …

" Get in Researchers; We're Measuring Reproducibility": A Reproducibility Study of Machine Learning Papers in Tier 1 Security Conferences

D Olszewski, A Lu, C Stillman, K Warren… - Proceedings of the …, 2023 - dl.acm.org
Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

{POLICYCOMP}: Counterpart Comparison of Privacy Policies Uncovers Overbroad Personal Data Collection Practices

L Zhou, C Wei, T Zhu, G Chen, X Zhang, S Du… - 32nd USENIX Security …, 2023 - usenix.org
Since mobile apps' privacy policies are usually complex, various tools have been developed
to examine whether privacy policies have contradictions and verify whether privacy policies …

BCFDPS: A Blockchain‐Based Click Fraud Detection and Prevention Scheme for Online Advertising

Q Lyu, H Li, R Zhou, J Zhang, N Zhao… - Security and …, 2022 - Wiley Online Library
Online advertising, which depends on consumers' click, creates revenue for media sites,
publishers, and advertisers. However, click fraud by criminals, ie, the ad is clicked either by …

Unveiling Collusion-Based Ad Attribution Laundering Fraud: Detection, Analysis, and Security Implications

T Zhu, C Shou, Z Huang, G Chen, X Zhang… - Proceedings of the …, 2024 - dl.acm.org
In recent years, the growth of mobile advertising has been driven by in-app programmatic
advertising and technologies like Real-Time Bidding (RTB). However, this growth has also …

[PDF][PDF] DOITRUST: Dissecting On-chain Compromised Internet Domains via Graph Learning.

S Wang, M Almashor, A Abuadbba, R Sun, M Xue… - NDSS, 2023 - ndss-symposium.org
Traditional block/allow lists remain a significant defense against malicious websites, by
limiting end-users' access to domain names. However, such lists are often incomplete and …

ReckDroid: Detecting red packet fraud in Android apps

Y Cheng, X Qi, Y Li, Y Wang - Computers & Security, 2025 - Elsevier
Recently, red packets have appeared widely in various mobile apps. Related security issues
like fraud are gradually coming into the public eye. As a new means of fraud, red packet …

The devil is in the details: Analyzing the lucrative ad fraud patterns of the online ad ecosystem

E Papadogiannakis, N Kourtellis… - arXiv preprint arXiv …, 2023 - arxiv.org
The online advertising market has recently reached the 500 billion dollar mark, and to
accommodate the need to match a user with the highest bidder at a fraction of a second, it …

DARPA: Combating Asymmetric Dark UI Patterns on Android with Run-time View Decorator

Z Cai, Y Nan, X Wang, M Long, Q Ou… - 2023 53rd Annual …, 2023 - ieeexplore.ieee.org
It has been extensively discussed that online services, such as shopping websites, may
exploit dark user interface (UI) patterns to mislead users into performing unwanted and even …

Persistent Sketch: A Memory-Efficient and Robust Algorithm for Finding Top-k Persistent Flows

Z Sun, YE Sun, Y Du, J Liu, H Huang - International Conference on …, 2023 - Springer
Finding top-k persistent flows in high-speed network traffic is crucial for applications like click-
fraud detection and covert attacker detection. The prior studies either do not separate …