This paper is published in Volume-8, Issue-2, 2022
Area
Computer Science, Android
Author
Harsh Jha, Manish Verma, Prashant Gautam
Org/Univ
Sharda University, Greater Noida, Uttar Pradesh, India
Pub. Date
15 April, 2022
Paper ID
V8I2-1275
Publisher
Keywords
Static Analysis, Taint Analysis, Privacy Leaks, ICC, CFG

Citationsacebook

IEEE
Harsh Jha, Manish Verma, Prashant Gautam. Android privacy leakage detection using static analysis, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Harsh Jha, Manish Verma, Prashant Gautam (2022). Android privacy leakage detection using static analysis. International Journal of Advance Research, Ideas and Innovations in Technology, 8(2) www.IJARIIT.com.

MLA
Harsh Jha, Manish Verma, Prashant Gautam. "Android privacy leakage detection using static analysis." International Journal of Advance Research, Ideas and Innovations in Technology 8.2 (2022). www.IJARIIT.com.

Abstract

The quantity of Android apps has grown explosively in re- cent years and the wide variety of apps leaking non-public facts has additionally grown. it's far necessary to make sure all of the apps are not leaking non-public information before putting them to the app markets and thereby a privateness leaks detection tool is wanted. We endorse a static taint evaluation approach that leverages the control-flow graph (CFG) of apps to locate privateness leaks among Android apps. We tackle three troubles related to inter-element verbal exchange (ICC), the lifecycle of components, and the callback mechanism making the CFG imprecision. To bridge this gap, we ex- implicitly join the discontinuities of the CFG to provide a unique CFG. based totally on the ideal CFG, we goal at offering a taint evaluation method to locate intra-factor privateness leaks, inter-factor privacy leaks, and additionally inter-app privacy leaks.