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AndRadar: Fast Discovery of Android Applications in Alternative Markets [chapter]

Martina Lindorfer, Stamatis Volanis, Alessandro Sisto, Matthias Neugschwandtner, Elias Athanasopoulos, Federico Maggi, Christian Platzer, Stefano Zanero, Sotiris Ioannidis
2014 Lecture Notes in Computer Science  
Motivated by these findings, we present AndRadar, a framework for discovering multiple instances of a malicious Android application in a set of alternative application markets.  ...  AndRadar scans a set of markets in parallel to discover similar applications. Each lookup takes no more than a few seconds, regardless of the size of the marketplace.  ...  given Android application in tens of alternative application markets.  ... 
doi:10.1007/978-3-319-08509-8_4 fatcat:54uaf3s7wjdsblj5yatvi4mzke

Review of Works Content Analyzer for Information Leakage Detection and Prevention in Android Smart Devices

T. Okebule, Afe Babalola University, Ado-Ekiti, Nigeria, Oluwaseyi A. Adeyemo, K. A. Olatunji, A. S. Awe, Afe Babalola University, Ado-Ekiti, Nigeria
2022 ABUAD International Journal of Natural and Applied Sciences  
The advent of android operating systems introduced tools to keep track of users' information activities and prevent information leakage which bridged the trust between application developers and consumers  ...  The review will help to combine different concept to minimize false positives that will in turn lead to increase in code coverage towards detecting the maximum number of data leaks.  ...  PiOS DroidRay Min AndroSAT Saurabh AndRadar Martina et al. (2014) designed AndRadar for Fast Discovery of Android Applications in Alternative Markets.  ... 
doi:10.53982/aijnas.2022.0201.02-j fatcat:xltm3eyeczcibl37m52l5v23za

Rebooting Research on Detecting Repackaged Android Apps: Literature Review and Benchmark [article]

Li Li, Tegawendé Bissyandé, Jacques Klein
2018 arXiv   pre-print
Repackaging is a serious threat to the Android ecosystem as it deprives app developers of their benefits, contributes to spreading malware on users' devices, and increases the workload of market maintainers  ...  In the space of six years, the research around this specific issue has produced 57 approaches which do not readily scale to millions of apps or are only evaluated on private datasets without, in general  ...  The authors would like to thank the anonymous reviewers who have provided insightful and constructive comments that have led to important improvements in several parts of the manuscript.  ... 
arXiv:1811.08520v1 fatcat:zjpauswnn5fprdqdnetp3zbhfu

Machine Learning-Based Routing and Wavelength Assignment in Software-Defined Optical Networks

Ignacio Martin, Sebastian Troia, Jose Alberto Hernandez, Alberto Rodriguez, Francesco Musumeci, Guido Maier, Rodolfo Alvizu, Oscar Gonzalez de Dios
2019 IEEE Transactions on Network and Service Management  
As a result, the Android ecosystem is huge and diverse, including tons of distinct system flavors, alternative application markets and millions of applications.  ...  In this light, many authors have addressed the problem by proposing marketscale solutions, like Andradar [57] , which monitors several Android markets in realtime tracking application changes and removals  ... 
doi:10.1109/tnsm.2019.2927867 fatcat:or3lhqdqbnas3cztwkqr5ykhhq