Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM64533

Mirror Key Reflection-Based Biometric Validation System with Forensic Logging

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64533

Volume:

10 |

6 |

Jun 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM64533

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.

Share this article:

Authors

Alagu Murugan K

Alagu Murugan K

Department of Cyber Forensics

Dr. M.G.R. Educational and Research Institute

Download Author Certificate

Mentors

MV

Magna V

Cyber Forensics

Dr. M.G.R. Educational and Research Institute

Download Mentor Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

The old way of using passwords to get into systems is still not safe. It can be broken into using force people can steal passwords and bad people can trick others into giving away their passwords. This paper is about a way to get into systems using a Mirror Key Reflection-Based Biometric Validation System. It is a system that uses the web and recognizes faces to let people in. We used Python and other tools like Django and OpenCV to build this system. The system takes a picture of the users face using a webcam and then compares it to a special code that is stored in a database. This code is very safe because it is encrypted. The system decides if the user is real or not in time, by comparing the picture to the stored code. Every time someone tries to get into the system it makes a record of what happened. This record is very safe because it uses hashing that can tell if someone tried to change it. We tried out the system. It worked very well when the lighting was good. It could tell who people were. Did not let in anyone who was not supposed to be there. The system is also easy to add things to, like checking if the person is real or just a picture. This is important because it means we can use this system in schools and small businesses without having to buy special equipment. The Mirror Key Reflection-Based Biometric Validation System is a way to get into systems without using passwords. It uses face recognition. Is very safe.

KEYWORDS

Face recognition biometric authentication AES encryption forensic logging OpenCV Django SHA-256 deep learning embeddings

Cite This Article

Alagu Murugan K, Magna V, "Mirror Key Reflection-Based Biometric Validation System with Forensic Logging," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-6, Jun 2026. https://doi.org/10.55041/IJSREM64533

Full Article/Conclusion

This paper is about the Mirror Key Reflection Biometric Validation System. The Mirror Key Reflection Biometric Validation System is a web application that people can use for free. It is a face recognition system that helps to verify who a user is. The Mirror Key Reflection Biometric Validation System stores information in a way using something called AES-256 encryption. It also keeps a record of everything that happens with SHA-256 logging. The Mirror Key Reflection Biometric Validation System was built using Python and other tools like Django and OpenCV. The Mirror Key Reflection Biometric Validation System works on computers without needing special equipment or internet connections.   We tested the Mirror Key Reflection Biometric Validation System with ten people. The Mirror Key Reflection Biometric Validation System worked correctly for nine out of ten people when the lighting was normal. The Mirror Key Reflection Biometric Validation System did not make any mistakes when someone tried to trick it. The logging part of the Mirror Key Reflection Biometric Validation System was able to detect when someone tried to change the records on purpose.   These results show that the Mirror Key Reflection Biometric Validation System is more secure than using passwords. The Mirror Key Reflection Biometric Validation System is also easy to use for developers who're not experts in biometrics.   The Mirror Key Reflection Biometric Validation System is made in a way that makes it easy to add features. For example we can add a way to check if someone is really alive or a way to manage keys separately or a way to use different methods to verify who someone is. This makes the Mirror Key Reflection Biometric Validation System a good starting point for research and, for using it in real life especially in schools and small businesses

References

[1] R. Ramachandra and C. Busch, "Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey," ACM Computing Surveys, vol. 50, no. 1, pp. 1–37, 2021. [2] M. Wang and W. Deng, "Deep Face Recognition: A Survey," Neurocomputing, vol. 429, pp. 215–244, 2021. [3] X. Wu, R. He, Z. Sun, and T. Tan, "A Light CNN for Deep Face Representation with Noisy Labels," IEEE Transactions on Information Forensics and Security, vol. 13, no. 11, pp. 2884–2896, 2018. (Cited for contextual framing of classical vs. deep approaches.) [4] A. Adjabi, A. Ouahabi, A. Benzaoui, and A. Taleb-Ahmed, "Past, Present, and Future of Face Recognition: A Review," Electronics, vol. 9, no. 8, p. 1188, 2020. [5] J. Deng, J. Guo, N. Xue, and S. Zafeiriou, "ArcFace: Additive Angular Margin Loss for Deep Face Recognition," in Proc. IEEE/CVF CVPR, pp. 4690–4699, 2019. [6] C. Rathgeb and A. Uhl, "A Survey on Biometric Cryptosystems and Cancelable Biometrics," EURASIP Journal on Information Security, vol. 2011, Article ID 3, 2022. [7] A. Valjarevic and H. S. Venter, "A Harmonised Digital Forensic Process Model," in Proc. 2012 Information Security for South Africa, IEEE, 2012. (Foundational reference on forensic readiness — cited for conceptual alignment.) [8] T. de Freitas Pereira, J. Komulainen, A. Anjos, J. M. De Martino, A. Hadid, M. Pietikäinen, and S. Marcel, "Face Liveness Detection Using Dynamic Texture," EURASIP Journal on Image and Video Processing, vol. 2014, Article ID 2, 2022.

Editorial & Review Transparency

Publication Date

6/5/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

4

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...