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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Geumhwan Cho Junsung Cho Youngbae Song Hyoungshick Kim |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Sungkyunkwan Univ., Suwon, South Korea (Geumhwan Cho; Junsung Cho; Youngbae Song; Hyoungshick Kim) |
| 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. |
| Starting Page | 382 |
| Ending Page | 388 |
| File Size | 640135 |
| Page Count | 7 |
| File Format | |
| e-ISBN | 9781467365901 |
| DOI | 10.1109/ARES.2015.62 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-24 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Humanoid robots click fraud Mobile communication Libraries Androids Security advertising networks Advertising Mobile computing Android |
| Content Type | Text |
| Resource Type | Article |
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