scholarly journals Developing a Zen Click Fraud Detection Framework Using Smart Contracts

2022 ◽  
Author(s):  
Sean Sanders ◽  
Luke Ziarek
Keyword(s):  
Fraud Detection ◽  
Smart Contracts ◽  
Click Fraud

User click fraud detection method based on Top-Rank-k frequent pattern mining

2019 ◽  
Vol 33 (15) ◽  
pp. 1950150 ◽  
Author(s):  
Lijiao Pan ◽  
Shibiao Mu ◽  
Yingyan Wang
Keyword(s):  
Pattern Mining ◽  
Detection Method ◽  
Online Advertising ◽  
Fraud Detection ◽  
Frequent Pattern Mining ◽  
Detection Algorithm ◽  
Frequent Pattern ◽  
Good Efficiency ◽  
Click Fraud ◽  
Evaluation Score

A user click fraud detection method based on Top-Rank-k frequent pattern mining algorithm is presented to solve the click fraud problem appearing in current online advertising. Firstly, this method combines the click frequency of event samples, calculates the real evaluation score of click stream, and the click stream density function and evaluation score expression under multi-dimensional variables, and further obtains the time complexity of the next user’s click fraud process. Secondly, according to the Top-Rank-k frequent pattern, the process of click fraud detection algorithm is designed, and the click fraud user is analyzed and obtained. The results show that this method has good efficiency and correctness, and is superior to other similar algorithms.

scholarly journals Click Fraud Detection on the Advertiser Side

2014 ◽  
pp. 419-438 ◽  
Author(s):  
Haitao Xu ◽  
Daiping Liu ◽  
Aaron Koehl ◽  
Haining Wang ◽  
Angelos Stavrou
Keyword(s):  
Fraud Detection ◽  
Click Fraud

scholarly journals Crowdsourcing for click fraud detection

2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Riwa Mouawi ◽  
Imad H. Elhajj ◽  
Ali Chehab ◽  
Ayman Kayssi
Keyword(s):  
Fraud Detection ◽  
Click Fraud

Improving Click Fraud Detection by Real Time Data Fusion

2008 ◽  
Author(s):  
Mehmed Kantardzic ◽  
Chamila Walgampaya ◽  
Brent Wenerstrom ◽  
Oleksandr Lozitskiy ◽  
Sean Higgins ◽  
...  
Keyword(s):  
Data Fusion ◽  
Real Time ◽  
Fraud Detection ◽  
Time Data ◽  
Click Fraud ◽  
Real Time Data

scholarly journals Applications of Blockchain in Taxation: New Administrative Opportunities

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 442-452
Author(s):  
Larisa Petrovna Grundel ◽  
Irina Aleksandrovna Zhuravleva ◽  
Olga Valentinovna Mandroshchenko ◽  
Anastasia Viktorovna Kniazeva ◽  
Yulia Yurevna Kosenkova
Keyword(s):  
Cost Effectiveness ◽  
Transaction Costs ◽  
Transfer Pricing ◽  
Fraud Detection ◽  
The State ◽  
Tax Administration ◽  
Smart Contracts ◽  
Tax System ◽  
Blockchain Technology ◽  
Data Structuring

The purpose of this article is to consider the prospects of using blockchain technology in taxation. The article discusses the essence of blockchain and its possible implementation in the tax system. The study focuses on the benefits of blockchain as one of the most promising methods of improving and simultaneously simplifying the tax system for both the state and taxpayers. The main focus of the study was on the specifics of the implementation of blockchain in tax administration, for example, data structuring, cost-effectiveness, security (fraud detection), decentralized accounting technology (transparency), verification of transfer pricing, and the use of smart contracts. Blockchain can reconstruct accounting and automate the method of payments, transfers, and asset accounting. In the conclusions, the authors identify such potential advantages of implementing blockchain in tax administration as reducing transaction costs, faster, more transparent, and efficient taxation function.

scholarly journals Click Fraud Detection and Prevention System for Ad Networks

2019 ◽  
Vol 5 (1) ◽  
pp. 27 ◽  
Author(s):  
Paulo S. Almeida ◽  
João J. C. Gondim
Keyword(s):  
Fraud Detection ◽  
Context Information ◽  
Technical Data ◽  
Click Fraud ◽  
Prevention System

Click fraud detection consists of identifying the intention behind received clicks, given only technical data and context information. Reviewing concepts involved in click fraud practices and related work, a system that detects and prevents this type of fraud is proposed and implemented. The system is based and implemented on an ad network, one of the 3 main agents in the online ad environment, and for its validation, 3 servers were used, representing the publisher, the ad network with the system implemented and the announcer, and a bot that attempts to commit a click fraud.

The web ad-click fraud detection approach for supporting to the online advertising system

2022 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Pankaj Kumar Keserwani ◽  
Mahesh Chandra Govil ◽  
Emmanuel Shubhakar Pilli
Keyword(s):  
Online Advertising ◽  
Fraud Detection ◽  
Click Fraud ◽  
Detection Approach ◽  
The Web
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