A SURVEY ON ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUE
Abstract & Details
Research Area
Computer Engineering
Keywords
Android Application Scan
Malware Detection
Android Permission Check.
Abstract
The interface permits the user to look for an whimsical application on the Play Store; the permissions list and also the privacy policy area unit then mechanically retrieved, whenever attainable. The user has then the power of choosing a selected permission, and an inventory of relevant sentences area unit extracted by the privacy policy and conferred to them, together with AN correct description of the permission itself. Such AN interface permits the user to quickly valuate the privacy-related risks of AN automaton application, by lightness the relevant sections of the privacy policy and by providing helpful data regarding wise permissions. we tend to conferred a completely unique approach to the analysis of privacy policies within the context of automaton applications. The tool we tend to enforced greatly eases the method of understanding the privacy implications of putting in third party apps and it's already been tested able to highlight worrisome instances of applications. The tool is developed with expandability in mind, and more developments within the approach will simply be integrated so as to extend the reliableness and effectiveness. additionally, if your app handles personal or sensitive user knowledge, please conjointly consult with the extra needs within the "Personal and Sensitive Information" section below. These Google Play needs area unit additionally to any needs prescribed by applicable privacy or knowledge protection laws. we tend to planned, A user United Nations agency needs to put in and use any third party app doesn’t perceive the importance and that means of the permissions requested by an application, and thereby merely grants all the permissions as a results of that harmful apps conjointly get put in and perform their malicious activity behind the scene.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Ajaikumaran M | Anand Institute of Higher Technology |
| 2 | Mohan S | Anand Institute of Higher Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
M, Ajaikumaran & S, Mohan (2022). A SURVEY ON ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUE. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 4357-4361.
MLA Style
M, Ajaikumaran, and Mohan S. "A SURVEY ON ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUE." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 4357-4361.
IEEE Style
Ajaikumaran M and Mohan S, "A SURVEY ON ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUE," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 4357-4361, 2022.
Vancouver Style
M Ajaikumaran, S Mohan. A SURVEY ON ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUE. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):4357-4361.
Harvard Style
M, Ajaikumaran & S, Mohan (2022) 'A SURVEY ON ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUE', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 4357-4361.
Chicago Style
M, Ajaikumaran and Mohan S. "A SURVEY ON ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUE." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 4357-4361.
Turabian Style
M, Ajaikumaran and Mohan S. "A SURVEY ON ANDROID MALWARE DETECTION USING MACHINE LEARNING TECHNIQUE." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 4357-4361.
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