Developing a Zen Click Fraud Detection Framework Using Smart Contracts

Date
2022-01-04
Authors
Sanders, Sean
Ziarek, Luke
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Over 3,739 apps on average are published per day on the Google Play store [1]. A handful of the applications contain advertisement malware referred to as malvertising. As a result, Android advertisement malware has been a growing multi-billion-dollar problem. It constantly assaults many of the major advertising libraries such as the Google, Facebook, and Amazon. This paper presents an effective strategy for countering advertising malware using dynamic and static analysis techniques and the Soot compiler framework. Our research aims to detect malvertising click fraud in Android applications using the Soot compiler framework and blockchain technology. But the approach and the framework can be used to counter mobile malware families.
Description
Keywords
Blockchain Engineering, blockchain, fraud detection, malware, smart contracts
Citation
Rights
Access Rights
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.