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 …
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 …
seemingly contradictory results and expands the boundaries of known discoveries …
{POLICYCOMP}: Counterpart Comparison of Privacy Policies Uncovers Overbroad Personal Data Collection Practices
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 …
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 …
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
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 …
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.
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 …
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 …
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 …
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
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 …
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
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 …
fraud detection and covert attacker detection. The prior studies either do not separate …