Blogs (1) >>
ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States
Tue 12 Nov 2019 11:40 - 12:00 at Hillcrest - Mobile 1 Chair(s): Marouane Kessentini

To ensure security and privacy, Android employs a permission mechanism which requires developers to explicitly declare the permissions needed by their applications (apps). Users must grant those permissions before they install apps or during runtime. This mechanism protects users’ private data, but also imposes additional requirements on developers. For permission declaration, developers need knowledge about what permissions are necessary to implement various features of their apps, which is difficult to acquire due to the incompleteness of Android documentation. To address this problem, we present a novel permission recommendation system named PerRec for Android apps. PerRec leverages mining-based techniques and data fusion methods to recommend permissions for given apps according to their used APIs and API descriptions. The recommendation scores of potential permissions are calculated by a composition of two techniques which are implemented as two components of PerRec: a collaborative filtering component which measures similarities between apps based on semantic similarities between APIs; and a content-based recommendation component which automatically constructs profiles for potential permissions from existing apps. The two components are combined in PerRec for better performance. We have evaluated PerRec on 730 apps collected from Google Play and F-Droid, a repository of free and open source Android apps. Experimental results show that our approach significantly improves the state-of-the-art approaches APRec_CF_correlation , APRec_TEXT and Axplorer.

Tue 12 Nov

10:40 - 12:20: Papers - Mobile 1 at Hillcrest
Chair(s): Marouane KessentiniUniversity of Michigan
ase-2019-papers10:40 - 11:00
Test Transfer Across Mobile Apps Through Semantic Mapping
Jun-Wei LinUniversity of California, Irvine, Reyhaneh JabbarvandUniversity of California, Irvine, Sam MalekUniversity of California, Irvine
ase-2019-papers11:00 - 11:20
Test Migration Between Mobile Apps with Similar Functionality
Farnaz BehrangGeorgia Tech, Alessandro OrsoGeorgia Tech
ase-2019-papers11:20 - 11:40
DaPanda: Detecting Aggressive Push Notification in Android Apps
Tianming LiuBeijing University of Posts and Telecommunications, China, Haoyu WangBeijing University of Posts and Telecommunications, China, Li LiMonash University, Australia, Guangdong BaiGriffith University, Yao GuoPeking University, Guoai Xu Beijing University of Posts and Telecommunications
ase-2019-Journal-First-Presentations11:40 - 12:00
Automatic, highly accurate app permission recommendation
Zhongxin LiuZhejiang University, Xin XiaMonash University, David LoSingapore Management University, John GrundyMonash University
Link to publication
ase-2019-Demonstrations12:00 - 12:10
LIRAT: Layout and Image Recognition Driving Automated Mobile Testing of Cross-Platform
Shengcheng YuNanjing University, China, Chunrong FangNanjing University, Yang FengUniversity of California, Irvine, Wenyuan ZhaoNanjing University, Zhenyu ChenNanjing University
ase-2019-Demonstrations12:10 - 12:20
Humanoid: A Deep Learning-based Approach to Automated Black-box Android App Testing
Yuanchun LiPeking University, Ziyue YangPeking University, Yao GuoPeking University, Xiangqun ChenPeking University