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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Secured personal notes using face recognition-based decryption

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  • Secured personal notes using face recognition-based decryption

Anshid K T * and R. Vadivel

Department of Information Technology, Bharathiar University, Coimbatore, Tamil Nadu, India- 641046
 
Review Article
World Journal of Advanced Research and Reviews, 2023, 18(01), 668-672
Article DOI: 10.30574/wjarr.2023.18.1.0594
DOI url: https://doi.org/10.30574/wjarr.2023.18.1.0594
 
Received on 27 February 2023; revised on 09 April 2023; accepted on 11 April 2023
 
Data are kept in our local database and used by the Android Note program. The data for this project was stored in a cloud database, and anyone with the necessary login information can view the data from any device. The data is encrypted using a monoalphabetic substitution cipher encryption method, which is also used for decryption, to increase security. However, the decryption process adds an extra layer of security with the aid of a machine learning model. The program requests that the user's face be recognized in order to the data decrypted; otherwise, data cannot be decrypted. Cloud-based info will be encrypted and kept safe.
 
Cloud Database; Decryption; Encryption; Firebase; Private Note.
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2023-0594.pdf

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Anshid K T and R. Vadivel. Secured personal notes using face recognition-based decryption. World Journal of Advanced Research and Reviews, 2023, 18(1), 668-672. Article DOI: https://doi.org/10.30574/wjarr.2023.18.1.0594

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