Department of Computer Science, Saveetha College of Liberal Arts and Sciences, SIMATS Deemed to be University, Saveetha Nagar, Thandalam, Chennai, Tamil Nadu, India.
To perform a secure evaluation of Indoor Design data, the research introduces a Cyber-Neutrosophic Model, which utilizes AES-256 encryption, Role-Based Access Control, and real-time anomaly detection. It measures the percentage of unpredictability, insecurity, and variance present within model features. Also, it provides reliable data security. Similar features have been identified between the final results of the study, corresponding to the Cyber-Neutrosophic Model analysis, and the cybersecurity layer helped mitigate attacks. It is worth noting that Anomaly Detection successfully achieved response times of less than 2.5 seconds, demonstrating that the model can maintain its integrity while providing privacy. Using neutrosophic similarity scores that ranged from 0.85 to 0.98, the Cyber-Neutrosophic Model proved to have higher analysis accuracy. Additionally, it provided robust data security by utilizing Advance Encryption Standards (AES)-256 with Role-Based Access Control.
Keywords
Neutrosophic Similarity Measures, Cybersecurity Protocols, Accuracy, Data Security, Anomaly Detection.
A. Tleuken et al., “Which qualities should built environment possess to ensure satisfaction of higher-education students with remote education during pandemics?,” Building and Environment, vol. 207, p. 108567, Jan. 2022, doi: 10.1016/j.buildenv.2021.108567.
P. Martins, S. I. Lopes, A. M. Rosado da Cruz, and A. Curado, “Towards a Smart & Sustainable Campus: An Application-Oriented Architecture to Streamline Digitization and Strengthen Sustainability in Academia,” Sustainability, vol. 13, no. 6, p. 3189, Mar. 2021, doi: 10.3390/su13063189.
M. Alenezi, S. Wardat, and M. Akour, “The Need of Integrating Digital Education in Higher Education: Challenges and Opportunities,” Sustainability, vol. 15, no. 6, p. 4782, Mar. 2023, doi: 10.3390/su15064782.
S. Seoni, V. Jahmunah, M. Salvi, P. D. Barua, F. Molinari, and U. R. Acharya, “Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023),” Computers in Biology and Medicine, vol. 165, p. 107441, Oct. 2023, doi: 10.1016/j.compbiomed.2023.107441.
A. Akbar Firoozi and A. Asghar Firoozi, “Application of Machine Learning in Geotechnical Engineering for Risk Assessment,” Machine Learning and Data Mining Annual Volume 2023, Dec. 2023, doi: 10.5772/intechopen.113218.
Shah, V. (2021). Machine learning algorithms for cybersecurity: Detecting and preventing threats. Revista Espanola de Documentacion Cientifica, 15(4), 42-66.
S. Sadrizadeh et al., “Indoor air quality and health in schools: A critical review for developing the roadmap for the future school environment,” Journal of Building Engineering, vol. 57, p. 104908, Oct. 2022, doi: 10.1016/j.jobe.2022.104908.
A. Asadpour, “Student challenges in online architectural design courses in Iran during the COVID-19 pandemic,” E-Learning and Digital Media, vol. 18, no. 6, pp. 511–529, Jun. 2021, doi: 10.1177/20427530211022923.
Bhutoria, A. (2022). Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a human-in-the-loop model. Computers and Education: Artificial Intelligence, 3, 100068.
Al-Gerafi, M. A., Goswami, S. S., Khan, M. A., Naveed, Q. N., Lasisi, A., AlMohimeed, A., & Elaraby, A. (2024). Designing of an effective e-learning website using inter-valued fuzzy hybrid MCDM concept: A pedagogical approach. Alexandria Engineering Journal, 97, 61-87.
S. B. Veesam and A. R. Satish, “Design of an Iterative Method for CCTV Video Analysis Integrating Enhanced Person Detection and Dynamic Mask Graph Networks,” IEEE Access, vol. 12, pp. 157630–157656, 2024, doi: 10.1109/access.2024.3485896.
Rawat, D. B., & Hagos, D. H. (2024). Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives. arXiv preprint arXiv:2405.04718.
O. Aziz, M. S. Farooq, A. khelifi, and M. Shoaib, “Archaeometa: leveraging blockchain for secure and scalable virtual museums in the metaverse,” Heritage Science, vol. 12, no. 1, Aug. 2024, doi: 10.1186/s40494-024-01416-w.
U. Mittal, S. Sai, V. Chamola, and D. Sangwan, “A Comprehensive Review on Generative AI for Education,” IEEE Access, vol. 12, pp. 142733–142759, 2024, doi: 10.1109/access.2024.3468368.
D. Darío, P. H. Medina, and S. Yaman, “A Neutrosophic multi-criteria approach for implementing technology in education,” International Journal of Neutrosophic Science, vol. 24, no. 4, pp. 245–256, 2024, doi: 10.54216/ijns.240418.
Shitaya, A. M., Wahed, M. E. S., Ismail, A., Shams, M. Y., & Salama, A. A. (2025). Predicting Student Behavior Using a Neutrosophic Deep Learning Model. Neutrosophic Sets and Systems, 76, 288-310.
S. Das, B. K. Roy, M. B. Kar, S. Kar, and D. Pamučar, “Neutrosophic fuzzy set and its application in decision making,” Journal of Ambient Intelligence and Humanized Computing, vol. 11, no. 11, pp. 5017–5029, Mar. 2020, doi: 10.1007/s12652-020-01808-3.
A. Abdelhafeez, A. E. Fakhry, and N. A. Khalil, “Neutrosophic Sets and Metaheuristic Optimization: A Survey,” Neutrosophic and Information Fusion, vol. 1, no. 1, pp. 41–47, 2023, doi: 10.54216/nif.010105.
T. Fujita, “Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond,” Dec. 2024, doi: 10.31224/4199.
О. Буров, О. Бутнік-Сіверський, О. Орлюк, and К. Горська, “Cybersecurity And Innovative Digital Educational Environment,” Information Technologies and Learning Tools, vol. 80, no. 6, pp. 414–430, Dec. 2020, doi: 10.33407/itlt.v80i6.4159.
CRediT Author Statement
The authors confirm contribution to the paper as follows:
Conceptualization: Manju A, Rukmani Devi S, Mohammed Alaa H Altemimi, Jwalant Baria, Arivazhagan D and Lakshmi
Prasanna P;
Methodology: Manju A, Rukmani Devi S and Mohammed Alaa H Altemimi;
Writing- Original Draft Preparation: Manju A, Rukmani Devi S, Mohammed Alaa H Altemimi, Jwalant Baria, Arivazhagan D and Lakshmi Prasanna P;
Visualization: Jwalant Baria, Arivazhagan D and Lakshmi Prasanna P;
Investigation: Manju A, Rukmani Devi S and Mohammed Alaa H Altemimi;
Supervision: Jwalant Baria, Arivazhagan D and Lakshmi Prasanna P;
Validation: Manju A, Rukmani Devi S and Mohammed Alaa H Altemimi;
Writing- Reviewing and Editing: Manju A, Rukmani Devi S, Mohammed Alaa H Altemimi, Jwalant Baria, Arivazhagan D and Lakshmi Prasanna P; All authors reviewed the results and approved the final version of the manuscript.
Acknowledgements
Authors thank Reviewers for taking the time and effort necessary to review the manuscript.
Funding
No funding was received to assist with the preparation of this manuscript.
Ethics declarations
Conflict of interest
The authors have no conflicts of interest to declare that are relevant to the content of this article.
Availability of data and materials
Data sharing is not applicable to this article as no new data were created or analysed in this study.
Author information
Contributions
All authors have equal contribution in the paper and all authors have read and agreed to the published version of the manuscript.
Corresponding author
Manju A
Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India.
Open Access This article is licensed under a Creative Commons Attribution NoDerivs is a more restrictive license. It allows you to redistribute the material commercially or non-commercially but the user cannot make any changes whatsoever to the original, i.e. no derivatives of the original work. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
Cite this article
Manju A, Rukmani Devi S, Mohammed Alaa H Altemimi, Jwalant Baria, Arivazhagan D and Lakshmi Prasanna P, “Cyber Neutrosophic Model for Secure and Uncertainty Aware Evaluation in Indoor Design Projects”, Journal of Machine and Computing, vol.5, no.3, pp. 1773-1786, July 2025, doi: 10.53759/7669/jmc202505140.
