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Paper ID:IJSREM62121

UNDERSTANDING THE IMPACT OF APP PERMISSIONS ON SENSITIVE USER INFORMATION

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62121

Volume:

10 |

4 |

April 2026

Pages:

1-14

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62121

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

OBU

Onkar Balkrushna Ubhe

msc(computer application)

pvg's college of science and commerce,Pune

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PRJ

Pravin Rushikant Jagdale

msc(computer application)

pvg's college of science and commerce,Pune

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ARC

Ashutosh Ramdas Choudhari

msc(computer application)

pvg's college of science and commerce,Pune

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Mentors

DSJ

Dr. SWATI JOSHI

msc(computer application)

pvg's college of science and commerce,Pune

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Abstract

Mobile apps are now a basic part of our daily life. We use them for chatting, entertainment, studying, shopping, banking, and many other tasks. To work properly, apps ask for different types of permissions such as location, contacts, camera, microphone, and storage. Some of these permissions are important for the app to function, but many apps ask for extra permissions that are not needed. These unnecessary permissions can put the user’s personal data at risk. This research studies how mobile app permissions affect sensitive user information and how they may lead to privacy problems. In this study, 100 Android apps from categories like social media, games, finance, and productivity were analyzed. Tools such as the Android Manifest file, MobSF, and APK Analyzer were used to check what types of permissions each app requested. Permissions were divided into three groups: Normal, Dangerous, and Unnecessary. The results showed that around 65% of apps asked for permissions that were not linked to their main work. Many apps requested high-risk permissions like storage (90%), location (80%), camera (60%), and contacts (40%). These permissions can reveal private data if misused. The study also looked at real cases where apps misused permissions. For example, CamScanner was found to contain malware, Facebook collected background data without need, and Zoom had issues with unauthorized camera and microphone access. These cases show that extra permissions can lead to serious security and privacy problems. The research also found that many apps use third-party libraries that secretly collect user data for advertising and analytics.

KEYWORDS

Key Words: permissions privacy Android security user data mobile apps.

Cite This Article

Onkar Balkrushna Ubhe, Pravin Rushikant Jagdale, Ashutosh Ramdas Choudhari, Dr. SWATI JOSHI, "UNDERSTANDING THE IMPACT OF APP PERMISSIONS ON SENSITIVE USER INFORMATION," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-14, April 2026. https://doi.org/10.55041/IJSREM62121

Full Article/Conclusion

This research concludes that mobile app permissions play a major role in user data privacy. While permissions are necessary for proper app functioning, many applications misuse them or request more than required. Such behavior leads to privacy breaches and potential data exploitation. To reduce these risks:   1.                          Developers should follow the least privilege principle and only request essential permissions. 2.                          Users should regularly check app permission settings and deny unnecessary access. 3.                          App platforms should monitor and warn users about apps that misuse or over-request permissions. 4.                          Awareness campaigns should educate people on data privacy and responsible digital use. If both users and developers act responsibly, the mobile ecosystem can become far more transparent and secure.

References

1. Baldonado, M., Chang, C.-C.K., Gravano, L., Paepcke, A.: The Stanford Digital Library Metadata Architecture. Int. J. Digit. Libr. 1 (1997) 108–121 2. Bruce, K.B., Cardelli, L., Pierce, B.C.: Comparing Object Encodings. In: Abadi, M., Ito, T. (eds.): Theoretical Aspects of Computer Software. Lecture Notes in Computer Science, Vol. 1281. , (1997) 415–438 3. van Leeuwen, J. (ed.): Computer Science Today. Recent Trends and Developments. Lecture Notes in Computer Science, Vol. 1000. , (1995) 4. Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. 3rd edn. , (1996)

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Publication Date

4/30/2026

Peer Review Type

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Review Rounds: 2

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