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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) |
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| Paper Title: | File access control for multiple user system using Computer Vision |
| Authors Name: | Nikhil Tatikonda |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_218881
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| Published Paper Id: | IJNRD2404506 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | In recent years, the ubiquity of facial detection software, exemplified by technologies like Windows Face ID, Apple Face ID, and smartphone face unlock, has significantly elevated the standards of data security and access control. While these advancements have been pivotal in individualized device authentication, challenges arise when multiple users share a system, necessitating tailored solutions to safeguard private files and personalized data. In response to this, our paper proposes an innovative model that seamlessly integrates three key components. The first component involves precise Facial Recognition, leveraging unique facial features for individual user identification, thereby ensuring that access is limited to authorized individuals, whether unlocking a smartphone or accessing sensitive files. The second component, File and App Locking, addresses the paramount concern of privacy in shared systems, allowing users to protect specific files and applications, thereby thwarting unauthorized access and preserving confidentiality in communal settings. Finally, Basic Image Processing serves as the third component, playing a pivotal role in enhancing overall system accuracy and security. This step fine-tunes facial recognition algorithms, identifies potential vulnerabilities, and optimizes image quality by minimizing noise and improving clarity, contributing to a robust user authentication process. Through the integration of these three components, our model provides a comprehensive and adaptive solution, instilling confidence in users sharing devices while ensuring their privacy and data integrity are |
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| Cite Article: | "File access control for multiple user system using Computer Vision", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.f38-f43, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404506.pdf |
| Downloads: | 00023 |
| 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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Published Paper ID:IJNRD2404506 Registration ID: 218881 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: f38-f43 Country: HYDERABAD, TELANGANA, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404506 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404506 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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