Neural architecture search (NAS) has achieved great success in different computer vision tasks such as object detection and image recognition. Moreover, deep learning models have …
Mobile apps have the potential to request access to private information. Given the far- reaching negative consequences that misuse of this kind of information can lead to …
H Chen, D He, S Zhu, J Yang - Proceedings of the 2017 ACM on Asia …, 2017 - dl.acm.org
Incentivized by monetary gain, some app developers launch fraudulent campaigns to boost their apps' rankings in the mobile app stores. They pay some service providers for boost …
" Incentivized" advertising platforms allow mobile app developers to acquire new users by directly paying users to install and engage with mobile apps (eg, create an account, make in …
Download fraud is a prevalent threat in mobile App markets, where fraudsters manipulate the number of downloads of Apps via various cheating approaches. Purchased fake …
The difficulty of large-scale monitoring of app markets affects our understanding of their dynamics. This is particularly true for dimensions such as app update frequency, control and …
Browser extensions are popular small applications that allow users to enrich their browsing experience. Yet browser extensions pose security concerns because they can leak user …
In this paper, we present a framework for fraud intention recognition of public transport bus operators based on a deep learning approach using a stack of denoising and sparse …
We introduce the fraud de-anonymization problem, that goes beyond fraud detection, to unmask the human masterminds responsible for posting search rank fraud in online …