Review: Android Privacy Leakage Detection using Static Analysis


Authors : Umar badamasi ibrahim; SaurabhSrivastwa; Manish Verma

Volume/Issue : Volume 7 - 2022, Issue 4 - April

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3L1Q3wz

DOI : https://doi.org/10.5281/zenodo.6535823

Android is an open-source Operating System (OS) that is free and allows for a comprehensive understanding of its architecture. As a result, lots of manufacturers, including Samsung, Google Pixel, Sony, and Motorola, are using this system to create mobile devices (Mobile phones, smartwatches, and smart glasses). The use of an operating system leads to an expeditious growth in the number of Android users. On the other hand, unethical authors tend to create privacy devices for the sake of wealth or fame. Even though practitioners perform encroachment perception studies such as static analysis, this research examines some recently published articles from the year 2018 to early 2022. Based on the survey clearly stating that the android privacy leak uses the android characteristic, AmpDroid and FlowDroid also play a good role in detecting malware, later on, machine learning(ML) and deep learning algorithm is introduced to the system to find high accuracy and also listed the component and the stages of the analysis way to detect Android malware based on its high algorithm effect and accurate result.

Keywords : Android privacy detection, Static analysis, Machine learning, deep learning algorithms, stages, compone.

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