In-app advertising: a systematic literature review and implications for future research

CB Maddodi, P Upadhyaya - Spanish Journal of Marketing-ESIC, 2024 - emerald.com
Purpose The purpose of this study is to review and synthesize the literature on in-app
advertising, identify gaps and propose future research directions. Design/methodology …

Applications of blockchain technology for digital marketing: A systematic review

KT Rahman - Blockchain technology and applications for digital …, 2021 - igi-global.com
Using blockchain technology in digital marketing is still a budding concept. Hence, this
chapter aims to do a systematic review of research published on this topic from 2015 to 2021 …

[PDF][PDF] The mediating role of big data to influence practitioners to use forensic accounting for fraud detection

P Mittal, A Kaur, PK Gupta - European Journal of Business Science and …, 2021 - ejobsat.cz
Globally, the financial industry in the recent times has witnessed various forms of fraudulent
activities in the financial markets creating dilemma for the professionals, and the auditors …

[PDF][PDF] Browser fingerprint coding methods increasing the effectiveness of user identification in the web traffic

M Gabryel, K Grzanek, Y Hayashi - Journal of Artificial Intelligence and …, 2020 - sciendo.com
Web-based browser fingerprint (or device fingerprint) is a tool used to identify and track user
activity in web traffic. It is also used to identify computers that are abusing online advertising …

Online advertising security: Issues, taxonomy, and future directions

Z Pooranian, M Conti, H Haddadi… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Online advertising has become the backbone of the Internet economy by revolutionizing
business marketing. It provides a simple and efficient way for advertisers to display their …

Fraudulent traffic detection in online advertising with bipartite graph propagation algorithm

Y Wu, Y Xu, J Li - Expert Systems with Applications, 2021 - Elsevier
Online advertising fraud has brought huge economic losses to global advertisers. We
propose and compare a set of graph models to detect fraudulent Internet Protocol addresses …

Click ad fraud detection using XGBoost gradient boosting algorithm

NP Gohil, AD Meniya - International Conference on Computing Science …, 2021 - Springer
The growth of the online advertising industry has created new business opportunities on the
Internet. Companies and advertisers are turning to digital ad platforms like never before to …

[PDF][PDF] A Survey on Online Advertising and Click fraud detection

N Gohil, AD Meniya - 2nd national conference on research trends …, 2020 - researchgate.net
In today's scenario, web advertising has a very important role for promotion of any business
through keywords. And due to this the capacity of click fraud to impact business models …

Solution Probing Attack Against Coin Mixing Based Privacy-Preserving Crowdsourcing Platforms

Y Mao, Z Dang, H Wang, Y Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Conventional crowdsourcing platforms primarily rely on a central server as the broker for
information exchange. Although many efforts have been made, centralized platforms are still …

[HTML][HTML] Data-driven human and bot recognition from web activity logs based on hybrid learning techniques

M Gajewski, O Hryniewicz, A Jastrzębska… - Digital Communications …, 2024 - Elsevier
Distinguishing between web traffic generated by bots and humans is an important task in the
evaluation of online marketing campaigns. One of the main challenges is related to only …