Large-scale Empirical Study on Industrial Fake AppsSEIPIndustry Program
While there have been various studies towards Android app and its development, there is limited discussion of the broader class of apps that fall in fake area. Fake app and its development are distinct from official app and belong to the mobile underground industry. Due to the lack of knowledge of mobile underground industry, fake apps, its ecosystem and nature still remain in mystery.
To fill the blank, we conduct the first systematic and comprehensive empirical study on a large-scale set of fake apps. Over 150,000 samples that fake the top 50 popular apps are collected and extensively measured. In this paper, we present discoveries from three different perspectives, namely fake sample characteristics, quantitative study on fake samples and fake authors’ developing trend. Valuable domain knowledge, like fake apps’ naming tendency and fake developers’ evasive strategies, are then presented and confirmed with case studies, demonstrating a clear vision of fake app and its ecosystem.
Wed 29 MayDisplayed time zone: Eastern Time (US & Canada) change
16:00 - 18:00 | Mobile AppsJournal-First Papers / Technical Track / Software Engineering in Practice / Papers / New Ideas and Emerging Results at Mansfield / Sherbrooke Chair(s): Sandeep Kuttal The University of Tulsa | ||
16:00 20mTalk | Large-scale Empirical Study on Industrial Fake AppsSEIPIndustry Program Software Engineering in Practice Chongbin Tang East China Normal University, Sen Chen Nanyang Technological University, Singapore, Lingling Fan Nanyang Technological University, Singapore, Lihua Xu , Yang Liu Nanyang Technological University, Singapore, Zhushou Tang Pwnzen Infotech Inc., Liang Dou East China Normal University | ||
16:20 20mTalk | Practical Android Test Recording with Espresso Test RecorderSEIPIndustry Program Software Engineering in Practice | ||
16:40 20mTalk | Mimic: UI Compatibility Testing System for Android AppsTechnical Track Technical Track Taeyeon Ki Samsung Research America, Chang Min Park University at Buffalo, The State University of New York, Karthik Dantu University at Buffalo, The State University of New York, Steve Ko University at Buffalo, The State University of New York, Lukasz Ziarek SUNY Buffalo, USA | ||
17:00 20mTalk | IconIntent: Automatic Identification of Sensitive UI Widgets based on Icon Classification for Android AppsTechnical Track Technical Track Xusheng Xiao Case Western Reserve University, Xiaoyin Wang University of Texas at San Antonio, USA, Zhihao Cao Case Western Reserve University, Hanlin Wang Case Western Reserve University, Peng Gao Princeton University Pre-print | ||
17:20 10mTalk | Studying Bad Updates of Top Free-to-Download Apps in the Google Play StoreIndustry ProgramJournal-First Journal-First Papers Safwat Hassan Queens University, Kingston, Canada, Cor-Paul Bezemer University of Alberta, Canada, Ahmed E. Hassan Queen's University | ||
17:30 10mTalk | Navigation-aware and Personalized Prefetching of Network Requests in Android AppsIndustry ProgramNIER New Ideas and Emerging Results Ivano Malavolta Vrije Universiteit Amsterdam, Francesco Nocera Polytechnic University of Bari, Patricia Lago Vrije Universiteit Amsterdam, Marina Mongiello Polytechnic University of Bari, Italy Pre-print Media Attached | ||
17:40 20mTalk | Discussion Period Papers | ||