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Uncovering Download Fraud Activities in Mobile App Markets [article]

Yingtong Dou, Weijian Li, Zhirong Liu, Zhenhua Dong, Jiebo Luo, Philip S. Yu
2019 arXiv   pre-print
Download fraud is a prevalent threat in mobile App markets, where fraudsters manipulate the number of downloads of Apps via various cheating approaches.  ...  We release a honeypot App on the App Market and purchase fake downloads from fraudster agents to track fraud activities in the wild.  ...  ACKNOWLEDGMENT This work is conducted during the internship of Yingtong Dou and Weijian Li in Huawei.  ... 
arXiv:1907.03048v1 fatcat:s5u3qpf2bbfzrkj3mnkayhzpta

Efficient and Secure Model for Detect Malware and Fake Ranking Apps

V. Rakesh Datta
2019 International Journal for Research in Applied Science and Engineering Technology  
Nowadays most of the people using smart phones for daily activities so android apps in smart phones plays major role in the market to perform various activities.  ...  Another issue is search fraud due to these users will change their opinions on app .In this paper we implement novel system called Fairplay to uncover malware and search rank fraud by fraudsters, it will  ...  Search and Download Mobile Apps In this phase in implemented system android mobile user can search required app. Based on secret key he will download the app from server. I.  ... 
doi:10.22214/ijraset.2019.4472 fatcat:msys6i76dngkzg5pcze23xjlfy

FraudDroid: Automated Ad Fraud Detection for Android Apps [article]

Feng Dong, Haoyu Wang, Li Li, Yao Guo, Tegawende F. Bissyande, Tianming Liu, Guoai Xu, Jacques Klein
2018 arXiv   pre-print
We then propose, FraudDroid, a novel hybrid approach to detect ad frauds in mobile Android apps.  ...  Such dynamic interaction frauds, although now widely spread in apps, have not yet been explored nor addressed in the literature.  ...  App Market #Ad Apps #Fraud Percentage Google Play 3,630 94 2.59% 360 Mobile Assistant 1,012 25 2.47% Baidu Mobile Assistant 1,588 55 3.46% Huawei 1,145 10 0.87% Xiaomi 1,295 29 2.24%  ... 
arXiv:1709.01213v4 fatcat:pjbywoikenel7doaoyouquu73a

FraudDroid: automated ad fraud detection for Android apps

Feng Dong, Haoyu Wang, Li Li, Yao Guo, Tegawendé F. Bissyandé, Tianming Liu, Guoai Xu, Jacques Klein
2018 Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering - ESEC/FSE 2018  
We then propose, FraudDroid, a novel hybrid approach to detect ad frauds in mobile Android apps.  ...  Such dynamic interaction frauds, although now widely spread in apps, have not yet been explored nor addressed in the literature.  ...  App Market #Ad Apps #Fraud Percentage Google Play 3,630 94 2.59% 360 Mobile Assistant 1,012 25 2.47% Baidu Mobile Assistant 1,588 55 3.46% Huawei 1,145 10 0.87% Xiaomi 1,295 29 2.24%  ... 
doi:10.1145/3236024.3236045 dblp:conf/sigsoft/DongWLGBLXK18 fatcat:seu676kfefcvfky34k7wkzoto4

Two Trends in Mobile Security: Financial Motives and Transitioning from Static to Dynamic Analysis [article]

Emre Erturk
2015 arXiv   pre-print
This paper starts with a review of Android mobile operating system security, and also addresses the pros and cons of open source operating system security.  ...  As Android's market share is rapidly growing around the world. Android security will be a crucial area of research for IT security professionals and their academic counterparts.  ...  A recent example of the same SMS fraud activity involved fake Skype apps that were downloaded through Russian web sites as Java MIDlets, which again cause monetary damage [8] .  ... 
arXiv:1504.06893v1 fatcat:hlwuowoxpvdq5hwtdnfpupedge

Two Trends in Mobile Malware: Financial Motives and Transitioning from Static to Dynamic Analysis

Emre Erturk
2013 International Journal of Intelligent Computing Research  
This paper starts with a review of Android mobile operating system security, and also addresses the pros and cons of open source operating system security.  ...  As Android's market share is rapidly growing around the world, Android security will be a crucial area of research for IT security professionals and their academic counterparts.  ...  A recent example of the same SMS fraud activity involved fake Skype apps that were downloaded through Russian web sites as Java MIDlets, which again cause monetary damage [8] .  ... 
doi:10.20533/ijicr.2042.4655.2013.0039 fatcat:bjvbfmshfvhslp3ytu75ivtd2a

Searching Grade Scheme and Malware Recognition Within Google Play Application

Karthika A
2019 International Journal of Scientific Research in Science and Technology  
Deceptive behaviors in Google Play, the most trendy Android app market, fuel Search rank abuse and malware proliferation.  ...  To make out malware, preceding work has paying attention on app executable and acquiescence analysis. It will show that 75 percent of the acknowledged malware apps engage in hunt rank fraud.  ...  We show that 75% of the identified malware apps fit into place in search rank fraud.  ... 
doi:10.32628/ijsrst196177 fatcat:caivp56bkrealhcmc6isqrlkiy

Dissecting Click Fraud Autonomy in the Wild [article]

Tong Zhu, Yan Meng, Haotian Hu, Xiaokuan Zhang, Minhui Xue, Haojin Zhu
2021 arXiv   pre-print
Although the use of pay-per-click mechanisms stimulates the prosperity of the mobile advertisement network, fraudulent ad clicks result in huge financial losses for advertisers.  ...  We leverage ClickScanner to conduct the first large-scale measurement on app markets (i.e.,120,000 apps from Google Play and Huawei AppGallery) and reveal several unprecedented phenomena.  ...  We choose these apps because, in app markets, the few most popular apps contribute to a high majority of app downloads.  ... 
arXiv:2105.11103v1 fatcat:pqwkgkktzngvxpup7gdm25hr44

Dating with Scambots: Understanding the Ecosystem of Fraudulent Dating Applications [article]

Yangyu Hu, Haoyu Wang, Yajin Zhou, Yao Guo, Li Li, Bingxuan Luo and Fangren Xu
2018 arXiv   pre-print
In this work, we are focusing on a new and yet uncovered way for malicious apps to gain profit. They claim to be dating apps.  ...  We also analyze the business model of these apps and reveal that multiple parties are actually involved in the ecosystem, including producers who develop apps, publishers who publish apps to gain profit  ...  Ranking fraud in app markets.  ... 
arXiv:1807.04901v1 fatcat:rj6tfu3vrjc6lm3byadwojkhza

Ranking Fraud Detection in Mobile App using Hybrid Approach

G. Pavani Lalitha
2016 International Journal of Security Technology for Smart Device  
To download application advanced cell client needs to visit Apps store, for example, Google Play Store, Apples store and so on.  ...  There is need of different applications to be introduced on advanced mobile phone.  ...  Our focus in this way focuses on an organized approach, for various verifications, to find Mobile App situating deception moreover propose the most critical App that is for the most part true blue.  ... 
doi:10.21742/ijstsd.2016.3.1.02 fatcat:zw3jt6tqnbamfnw2e4mtag5ceq

Dating with Scambots: Understanding the Ecosystem of Fraudulent Dating Applications

Yangyu Hu, Haoyu Wang, Yajin Zhou, Yao Guo, Li Li, Bingxuan Luo, Fangren Xu
2019 IEEE Transactions on Dependable and Secure Computing  
In this work, we are focusing on a new and yet uncovered way for malicious apps to gain profit. They claim to be dating apps.  ...  We also analyze the business model of these apps and reveal that multiple parties are actually involved in the ecosystem, including producers who develop apps, publishers who publish apps to gain profit  ...  Ranking Fraud in App Markets.  ... 
doi:10.1109/tdsc.2019.2908939 fatcat:5xl2i72kubfszowbkbazyhgy64

FairPlay: Fraud and Malware Detection in Google Play [article]

Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau
2017 arXiv   pre-print
Fraudulent behaviors in Google Android app market fuel search rank abuse and malware proliferation.  ...  We present FairPlay, a novel system that uncovers both malware and search rank fraud apps, by picking out trails that fraudsters leave behind.  ...  Acknowledgments This research was supported in part by NSF grants 1527153 and 1526254, and DoD W911NF-13-1-0142.  ... 
arXiv:1703.02002v1 fatcat:gol3xpl6nram3cluyasgsti2v4

FairPlay: Fraud and Malware Detection in Google Play

Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau
2016 Proceedings of the 2016 SIAM International Conference on Data Mining  
Fraudulent behaviors in Google's Android app market fuel search rank abuse and malware proliferation.  ...  We present FairPlay, a novel system that uncovers both malware and search rank fraud apps, by picking out trails that fraudsters leave behind.  ...  Acknowledgments This research was supported in part by NSF grants 1527153 and 1526254, and DoD W911NF-13-1-0142.  ... 
doi:10.1137/1.9781611974348.12 dblp:conf/sdm/RahmanRCC16 fatcat:6quhghyhdvcmllig65rq5k5xuy

Search Rank Fraud and Malware Detection in Google Play

Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar, Duen Horng Chau
2017 IEEE Transactions on Knowledge and Data Engineering  
Fraudulent behaviors in Google Play, the most popular Android app market, fuel search rank abuse and malware proliferation.  ...  FairPlay achieves over 95% accuracy in classifying gold standard datasets of malware, fraudulent and legitimate apps. We show that 75% of the identified malware apps engage in search rank fraud.  ...  ACKNOWLEDGMENTS This research was supported in part by NSF grants 1527153, 1526254, and 1450619, and ARO W911NF-13-1-0142.  ... 
doi:10.1109/tkde.2017.2667658 fatcat:e6gjrekianexnbvkevnhgcramq

Automatic Uncovering of Hidden Behaviors From Input Validation in Mobile Apps

Qingchuan Zhao, Chaoshun Zuo, Brendan Dolan-Gavitt, Giancarlo Pellegrino, Zhiqiang Lin
2020 2020 IEEE Symposium on Security and Privacy (SP)  
Mobile applications (apps) have exploded in popularity, with billions of smartphone users using millions of apps available through markets such as the Google Play Store or the Apple App Store.  ...  In this paper, we show that the input validation behavior-the way the mobile apps process and respond to data entered by users-can serve as a powerful tool for uncovering such hidden functionality.  ...  ACKNOWLEDGMENT This research was supported in part by National Science Foundation (NSF) Awards 1657199, 1834215, and by the German Federal Ministry of Education and Research (BMBF) through funding for  ... 
doi:10.1109/sp40000.2020.00072 dblp:conf/sp/ZhaoZDPL20 fatcat:t7ifkf6v75ayllixb4ofpjq6ca
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