ICETETI-2024 | View PDF
Paper Id:ICETETI-MSM150
doi: 10.71141/30485037/ICETETI-MSM150

Strengthening Data Privacy in Backup Systems Using Blockchain, Encryption, and RBAC

James Zhang, Muhammadu Sathik Raja Sathik Raja M.S

Citation:
James Zhang, Muhammadu Sathik Raja Sathik Raja M.S, "Strengthening Data Privacy in Backup Systems Using Blockchain, Encryption, and RBAC", International Journal of Multidisciplinary on Science and Management, pp. 345-349, 2024.

Abstract:
Data privacy has become a critical concern in backup systems due to the rising number of cyber threats and unauthorized access to sensitive information. Traditional backup mechanisms often lack sufficient security measures, making them vulnerable to breaches. This paper explores a novel approach to enhancing data privacy in backup systems by integrating blockchain technology, advanced encryption techniques, and Role-Based Access Control (RBAC). Blockchain provides a decentralized and immutable ledger that ensures transparency and security. Encryption safeguards the data by making it inaccessible to unauthorized users. RBAC enables fine-grained access control, ensuring that only authorized individuals can access specific data. This paper discusses the limitations of traditional backup security methods and presents an integrated framework incorporating these three technologies. The methodology involves designing a secure backup architecture, implementing cryptographic protocols, and testing the system for resilience against cyber threats. The results indicate a significant improvement in data security, reduced risks of unauthorized access, and enhanced compliance with regulatory standards. The proposed framework demonstrates how combining blockchain, encryption, and RBAC can revolutionize data privacy in backup systems, making them more resilient to cyber threats.

Keywords: Data Privacy, Backup Systems, Blockchain, Encryption, Role-Based Access Control (Rbac), Cybersecurity, Data Protection.

References:
1. Çiçek, Ö., Abdulkadir, A., Lienkamp, S. S., brox, T., & Ronneberger, O. (2016). "3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation." Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2016, 424-432. https://doi.org/10.1007/978-3-319-46723-8_49
2. Dou, Q., Chen, H., Yu, L., Qin, J., & Heng, P. A. (2017). "Automated Liver Segmentation with Deep Learning: A Survey." IEEE Transactions on Medical Imaging, 36(2), 278-299. https://doi.org/10.1109/TMI.2016.2620810
3. Li, C., Zhang, J., & Zhang, D. (2020). "TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation." arXiv preprint arXiv:2102.04306. https://arxiv.org/abs/2102.04306
4. Vinyals, O., Blundell, C., Lillicrap, T., Wierstra, D., & Kavukcuoglu, K. (2016). "Matching Networks for One-Shot Learning." Advances in Neural Information Processing Systems (NeurIPS), 29, 3630-3638. https://arxiv.org/abs/1606.04080
5. Finn, C., Abbeel, P., & Levine, S. (2017). "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks." Proceedings of the 34th International Conference on Machine Learning (ICML), 70, 1126-1135. http://proceedings.mlr.press/v70/finn17a.html
6. Chen, H., Qi, X., Yu, L., et al. (2021). "TransUNet: A Transformer-based U-Net for Medical Image Segmentation." arXiv preprint arXiv:2102.04306. https://arxiv.org/abs/2102.04306
7. Zhu, X., & Zhan, Y. (2021). "Few-Shot Medical Image Segmentation Using Meta-Learning." IEEE Access, 9, 23535-23545. https://doi.org/10.1109/ACCESS.2021.3053470
8. Wu, X., & Long, J. (2018). "Deep Learning for Liver Tumor Segmentation in CT Images." Proceedings of the IEEE International Conference on Image Processing (ICIP), 2018, 1547-1551. https://doi.org/10.1109/ICIP.2018.8451107
9. Yang, G., Zhang, B., & Chen, X. (2018). "Liver Tumor Segmentation in CT Imaging Using 3D U-Net and Deep Feature Learning." Medical Image Analysis, 47, 51-62. https://doi.org/10.1016/j.media.2017.09.010
10. Bertinetto, L., Valmadre, J., Henriques, J. F., Vedaldi, A., & Torr, P. H. (2016). "Learning Feed-forward One-shot Learners." Proceedings of the 29th International Conference on Neural Information Processing Systems (NeurIPS), 523-531. https://arxiv.org/abs/1606.05264
11. K. Sundar, E. Manohar, V. K and R. S, "Segmentation and Detection of Liver Tumors from CT Scans using TransUNet Architecture in Deep Learning," 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), Coimbatore, India, 2024, pp. 997-1002, doi: 10.1109/ICoICI62503.2024.10696653.
12. Kumar Shukla, Nimeshkumar Patel, Hirenkumar Mistry, 2024.” A COMPARATIVE STUDY OF INTERPRETABLE MACHINE LEARNING MODELS FOR ANALYZING HEALTHCARE DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.i45-i52, April-2024, Available : http://www.jetir.org/papers/JETIR2404807.pdf
13. Palakurti, N. R. (2024). Challenges and Future Directions in Anomaly Detection. In Practical Applications of Data Processing, Algorithms, and Modeling (pp. 269-284). IGI Global.
14. Amrish Solanki, Kshitiz Jain, Shrikaa Jadiga, "Building a Data-Driven Culture: Empowering Organizations with Business Intelligence," International Journal of Computer Trends and Technology, 2024; 72, 2: 46-55.
15. Geetesh Sanodia, “Enhancing Salesforce CRM with Artificial Intelligence”, International Journal of Artificial Intelligence Research and Development (IJAIRD), 1(1), 2023, pp. 52-61.
16. Giridhar Kankanala, Sudheer Amgothu, "Load Balancers in the Cloud-Research Strategy applied in SAP Cloud", International Journal of Science and Research (IJSR), Volume 11 Issue 8, August 2022, pp. 1563-1565, https://www.ijsr.net/getabstract.php?paperid=SR22087121208, DOI: https://www.doi.org/10.21275/SR22087121208
17. Chintala, Suman. (2024). Smart BI Systems: The Role of AI in Modern Business. ESP Journal of Engineering & Technology Advancements. 10.56472/25832646/JETA-V4I3P05.
18. S. K. Suvvari and V. D. Saxena, "Stakeholder management in projects: Strategies for effective communication," Innov. Res. Thoughts, vol. 9, no. 5, pp. 188–201, 2023.
19. Akbar Doctor,2023.” Biomedical Signal and Image Processing with Artificial Intelligence Chapter Manufacturing of Medical Devices Using Artificial Intelligence-Based Troubleshooters”, Springer Nature Switzerland AG, Volume 1, PP-195-206.
20. Dixit, A., Wazarkar, K. and Sabnis, A.S., 2021. Antimicrobial uv curable wood coatings based on citric acid. Pigment & Resin Technology, 50(6), pp.533-544.
21. V. Gojanur, and R. Hegde. 2015. 4G protocol and architecture for BYOD over Cloud Computing. In Communications and Signal Processing (ICCSP), 2015 International Conference on. 0308-0313. Google Scholar.
22. Apurva Kumar, "Building Autonomous AI Agents based AI Infrastructure," International Journal of Computer Trends and Technology, vol. 72, no. 11, pp. 116-125, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I11P112
23. Rao, Deepak Dasaratha, Sairam Madasu, Srinivasa Rao Gunturu, Ceres D’britto, and Joel Lopes. "Cybersecurity Threat Detection Using Machine Learning in Cloud-Based Environments: A Comprehensive Study." International Journal on Recent and Innovation Trends in Computing and Communication 12, no. 1 (January 2024): 285. Available at: http://www.ijritcc.org.
24. DHAMELIYA, N., PATEL, B., MADDULA, S. S., & MULLANGI, K. (2024). EDGE COMPUTING IN NETWORK-BASED SYSTEMS: ENHANCING LATENCY-SENSITIVE APPLICATIONS. Journal of Computing and Digital Technologies, 2(1), 1-21,
25. Karthik Hosavaranchi Puttaraju, "Augmenting Classical Strategic Tools with Artificial Intelligence: A Systematic Review of Enhanced Decision - Making Methodologies", International Journal of Science and Research (IJSR), Volume 12 Issue 11, November 2023,pp.22422247,https://www.ijsr.net/getabstract.php?paperid=SR23114091158,DOI:https://www.doi.org/10.21275/SR23114091158
26. Sateesh Reddy Adavelli, "Zero-Day Threat Protection: Advanced Cybersecurity Measures for Cloud-Based Guidewire Implementations", International Journal of Science and Research (IJSR), Volume 12 Issue 9, September 2023, pp. 2219-2231, https://www.ijsr.net/getabstract.php?paperid=SR23092085343, DOI: https://www.doi.org/10.21275/SR23092085343
27. Tsaliki KC. AI-driven hormonal profiling: a game-changer in polycystic ovary syndrome prevention. Int J Res Appl Sci Eng Technol (IJRASET). 2024. https://doi.org/10.22214/ijraset.2024.61001.
28. Naga Ramesh Palakurti, 2022. "AI Applications in Food Safety and Quality Control" ESP Journal of Engineering & Technology Advancements, 2(3): 48-61.
29. Muthukumaran Vaithianathan, Mahesh Patil, Shunyee Frank Ng, Shiv Udkar, 2024. "Energy-Efficient FPGA Design for Wearable and Implantable Devices", ESP International Journal of Advancements in Science & Technology (ESP-IJAST), Volume 2, Issue 2: 37-51.
30. Vinay Panchal, 2025. “Designing for Longer Battery Life: Power Optimization Strategies in Modern Mobile SOCS”, International Journal of Electrical Engineering and Technology (IJEET) Volume 16, Issue 1, January-February 2025, pp. 1-17, Article ID: IJEET_16_01_001 Available online at https://iaeme.com/Home/issue/IJEET?Volume=16&Issue=1
31. Vinay Panchal, 2024. “Thermal and Power Management Challenges in High-Performance Mobile Processors”, International Journal of Innovative Research of Science, Engineering and Technology (IJIRSET), Volume 13, Issue 11, November 2024 |DOI: 10.15680/IJIRSET.2024.1311014.
32. Sateesh Reddy Adavelli, "Data Mesh Architecture in P&C Insurance: Implementing Domain-Driven Data Products using Snowflake and Guidewire", International Journal of Innovative Research in Computer and Communication Engineering, Volume 10, Issue 11, November 2022.
33. Sateesh Reddy Adavelli, "Multi-Cloud Data Resilience: Implementing Cross-Platform Data Strategies with Snowflake for P&C Insurance Operations", International Journal of Science and Research (IJSR), Volume 12 Issue 1, January 2023, pp. 1387-1398, https://www.ijsr.net/getabstract.php?paperid=SR230115085206, DOI: https://www.doi.org/10.21275/SR230115085206
34. Muthukumaran Vaithianathan, Mahesh Patil, Shunyee Frank Ng, Shiv Udkar, 2024. "Integrating AI and Machine Learning with UVM in Semiconductor Design", ESP International Journal of Advancements in Computational Technology (ESP-IJACT), Volume 2, Issue 3: 37-51.
35. Sunil Kumar Suvvari & DR. VIMAL DEEP SAXENA. (2024). Innovative Approaches to Project Scheduling: Techniques and Tools. Innovative Research Thoughts, 10(2), 133–143. https://doi.org/10.36676/irt.v10.i2.1481
36. Sunil Kumar Suvvari, "Measuring Agile Success: Metrics and Indicators for Agile Project Management", Stochastic Modelling and Computational Sciences, Vol. 1 No.2, (December, 2021).
37. Vishwanath Gojanur, Aparna Bhat, “Wireless Personal Health Monitoring System”, IJETCAS: International Journal of Emerging Technologies in Computational and Applied Sciences, eISSN: 2279-0055, pISSN: 2279-0047, 2014.
38. Sainath Muvva, Blockchain Technology in Data Engineering: Enhancing Data Integrity and Traceability in Modern Data Pipeline, International Journal of Leading Research Publication (IJLRP), Volume 4, Issue 7, July 2023. DOI 10.5281/zenodo.14646547.
39. Sainath Muvva, Ethical AI and Responsible Data Engineering: A Framework for Bias Mitigation and Privacy Preservation in Large-Scale Data Pipelines, International Journal of Scientific Research in Engineering and Management, Volume: 05 Issue: 09 | Sept - 2021.
40. Sainath Muvva, Privacy-Preserving Data Engineering: Techniques, Challenges, and Future Directions, International Journal of Scientific Research in Engineering and Management, Volume: 05 Issue: 07 | July - 2021.
41. Dixit, A.S., Nagula, K.N., Patwardhan, A.V. and Pandit, A.B., 2020. Alternative and remunerative solid culture media for pigment-producing serratia marcescens NCIM 5246. J Text Assoc, 81(2), pp.99-103.
42. Kumar Shukla, Nimeshkumar Patel, Hirenkumar Mistry, 2024. “Transforming Incident Responses, Automating Security Measures, and Revolutionizing Defence Strategies through AI-Powered Cyber security", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN: 2349-5162, Vol.11, Issue 3, page no.h38-h45, March-2024, Available: http://www.jetir.org/papers/JETIR2403708.pdf
43. Dixit, A., Sabnis, A., Balgude, D., Kale, S., Gada, A., Kudu, B., Mehta, K., Kasar, S., Handa, D., Mehta, R. and Kshirsagar, S., 2023. Synthesis and characterization of citric acid and itaconic acid-based two-pack polyurethane antimicrobial coatings. Polymer Bulletin, 80(2), pp.2187-2216.
44. Chandrakanth Lekkala (2023) Deploying and Managing Containerized Data Workloads on Amazon EKS. Journal of Artificial Intelligence & Cloud Computing. SRC/JAICC-342. DOI: doi.org/10.47363/JAICC/2023 (2)324.
45. Muthukumaran Vaithianathan, Mahesh Patil, Shunyee Frank Ng, Shiv Udkar, 2024. "Low-Power FPGA Design Techniques for Next-Generation Mobile Devices", ESP International Journal of Advancements in Computational Technology (ESP-IJACT), Volume 2, Issue 2: 82-93.
46. Chandrakanth Lekkala 2022. “Integration of Real-Time Data Streaming Technologies in Hybrid Cloud Environments: Kafka, Spark, and Kubernetes”, European Journal of Advances in Engineering and Technology, 2022, 9(10):38-43.
47. Chandrakanth Lekkala, “Utilizing Cloud – Based Data Warehouses for Advanced Analytics: A Comparative Study”, International Journal of Science and Research (IJSR), Volume 11 Issue 1, January 2022, pp. 1639-1643, https://www.ijsr.net/getabstract.php?paperid=SR24628182046
48. Patel, N. (2024, March). “Secure Access Service Edge (SASE): “Evaluating The Impact Of Convereged Network Security Architectures In Cloud Computing.” Journal of Emerging Technologies and Innovative Research. https://www.jetir.org/papers/JETIR2403481.pdf
49. Dixit, A.S., Patwardhan, A.V. and Pandit, A.B., 2021. PARAMETER OPTIMIZATION OF PRODIGIOSIN BASEDDYE-SENSITIZED SOLAR CELL. International Journal of Pharmaceutical, Chemical & Biological Sciences, 11(1), pp.19-29.
50. Dhamotharan Seenivasan, Muthukumaran Vaithianathan, 2023. "Real-Time Adaptation: Change Data Capture in Modern Computer Architecture", ESP International Journal of Advancements in Computational Technology (ESP-IJACT), Volume 1, Issue 2: 49-61.
51. Chanthati, S. R. (2024). Website Visitor Analysis & Branding Quality Measurement Using Artificial Intelligence. Sasibhushan Rao Chanthati. https://journals.e-palli.com/home/index.php/ajet. https://doi.org/10.54536/ajet.v3i3.3212
52. Chandrakanth Lekkala 2022. “Automating Infrastructure Management with Terraform: Strategies and Impact on Business Efficiency”, European Journal of Advances in Engineering and Technology, 2022, 9(11): 82-88.
53. Bhat, A., Gojanur, V., & Hegde, R. (2014). 5G evolution and need: A study. In International conference on electrical, electronics, signals, communication and optimization (EESCO)—2015.
54. Chanthati, Sasibhushan Rao. (2022). A Centralized Approach To Reducing Burnouts In The It Industry Using Work Pattern Monitoring Using Artificial Intelligenc. International Journal on Soft Computing Artificial Intelligence and Applications. Sasibhushan Rao Chanthati. Volume-10, Issue-1, PP 64-69.
55. Aparna Bhat, “Comparison of Clustering Algorithms and Clustering Protocols in Heterogeneous Wireless Sensor Networks: A Survey,” 2014 INTERNATIONAL JOURNAL OF SCIENTIFIC PROGRESS AND RESEARCH (IJSPR) - ISSN: 2349-4689 Volume 04- NO.1, 2014.