INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Numerous creative and clever Android applications have emerged as a result of the Android platform's recent growth in popularity and users (apps). Numerous of these applications are extremely interactive, programmable, and dependent on user data to function. While this is practical, user privacy is the main issue. It is not assured that these applications don't break algorithms or keep user data for their own use. Android secures and safeguards user data through a permissions mechanism. During installation or runtime, the user can grant permissions to the necessary resources. However, in fact, this mechanism is frequently misused by requesting extra authorizations that are not necessary for service provision. If they are not updated, these apps will stop functioning.If these apps don't get all the permissions they need, they will stop functioning. Consequently, a safe privacy framework is created in this document to stop the program from stealing user data by limiting any pointless rights. By forecasting the permissions needed by a specific application utilizing collaborative filtering and mining algorithms with frequent permission settings, unnecessary permissions are found. In order to alter the permission data within the target application, the proposed model interacts with it. The results of the experiments demonstrate that the suggested approach not only ensures the correct operation of the application but also safeguards user data.
Keywords:
instrumentation, authorization model, security, and privacy in relation to Android.
Cite Article:
"Privacy Protection Framework of Android", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 8, page no.a1-a7, August-2023, Available :http://www.ijnrd.org/papers/IJNRD2308001.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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