Proceedings ArticleDOI
An Empirical Study of Click Fraud in Mobile Advertising Networks
Geumhwan Cho,Junsung Cho,Youngbae Song,Hyoungshick Kim +3 more
- pp 382-388
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TLDR
This study aims at identifying potential security risks of a type of mobile advertisement where advertisers are charged for their advertisements only when a user clicks (or touches) on the advertisements in their applications.Abstract:
Smartphone advertisement is increasingly used among many applications and allows developers to obtain revenue through in-app advertising. Our study aims at identifying potential security risks of a type of mobile advertisement where advertisers are charged for their advertisements only when a user clicks (or touches) on the advertisements in their applications. In the Android platform, we design an automated click generation attack and empirically evaluate eight popular advertising networks by performing real attacks on them. Our experimental results show that six advertising networks (75%) out of eight (Millennial Media, App Lovin, Ad Fit, Mdot M, Rev Mob and Cauly Ads) are vulnerable to our attacks. We also discuss how to develop effective defense mechanisms to mitigate such automated click fraud attacks.read more
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The Market for Fake Reviews
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How do Mobile Apps Violate the Behavioral Policy of Advertisement Libraries
TL;DR: An automated approach to detect policy-violation apps is proposed, which takes advantage of two key artifacts: an automated model-based Android GUI testing technique and a set of heuristic rules summarized from the behavior policies of Google Admob.
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Dating with Scambots: Understanding the Ecosystem of Fraudulent Dating Applications
TL;DR: This work has proposed a three-phase method to detect fraudulent dating apps and subsequently comprehend their characteristics via analyzing the existing account profiles, and the results demonstrate the urge for a solution to protect users.
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MadDroid: Characterising and Detecting Devious Ad Content for Android Apps
Tianming Liu,Haoyu Wang,Li Li,Xiapu Luo,Feng Dong,Yao Guo,Liu Wang,Tegawendé F. Bissyandé,Jacques Klein +8 more
TL;DR: This work proposes MadDroid, a framework for automated detection of devious ad contents that leverages an automated app testing framework with a sophisticated ad view exploration strategy for effectively collecting ad-related network traffic and subsequently extracting ad contents.
Proceedings ArticleDOI
MadDroid: Characterizing and Detecting Devious Ad Contents for Android Apps
Tianming Liu,Haoyu Wang,Li Li,Xiapu Luo,Feng Dong,Yao Guo,Liu Wang,Tegawendé F. Bissyandé,Jacques Klein +8 more
TL;DR: In this article, the authors proposed MadDroid, a framework for automated detection of devious ad contents, which leverages an automated app testing framework with a sophisticated ad view exploration strategy for effectively collecting adrelated network traffic and subsequently extracting ad contents.
References
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Book
Honeypots: Tracking Hackers
TL;DR: Honeypots: Tracking Hackers is the ultimate guide to this rapidly growing, cutting-edge technology, and gains an understanding of honeypot concepts and architecture, as well as the skills to deploy the best honeypot solutions for your environment.
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Challenges and business models for mobile location-based services and advertising
Subhankar Dhar,Upkar Varshney +1 more
TL;DR: This research examines how mobile advertising will become more pervasive and profitable, but not before addressing key technical and business challenges.
Proceedings ArticleDOI
AdDroid: privilege separation for applications and advertisers in Android
TL;DR: AdDroid is introduced, a privilege separated advertising framework for the Android platform that enables AdDroid to separate privileged advertising functionality from host applications, allowing applications to show advertisements without requesting privacy-sensitive permissions.
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The Economics of Online Crime
TL;DR: In this article, the authors examine the data on online crime; discuss the collective action aspects of the problem; demonstrate how agile attackers shift across national borders as earlier targets wise up to their tactics; describe ways to improve law-enforcement coordination; and explore how defenders' incentives affect the outcomes.
Posted Content
AdSplit: Separating smartphone advertising from applications
TL;DR: AdSplit is described, where Android is extended to allow an application and its advertising to run as separate processes, under separate user-ids, eliminating the need for applications to request permissions on behalf of their advertising libraries, and providing services to validate the legitimacy of clicks, locally and remotely.