ICETETI-2024 | View PDF
Paper Id:ICETETI-MSM145
doi: 10.71141/30485037/ICETETI-MSM145

AI-Driven Backup Solutions: Enhancing Threat Detection and Improving Data Privacy

Amelia Miller, Syed Ali Fathima

Citation:
Amelia Miller, Syed Ali Fathima, "AI-Driven Backup Solutions: Enhancing Threat Detection and Improving Data Privacy", International Journal of Multidisciplinary on Science and Management, pp. 318-322, 2024.

Abstract:
Artificial Intelligence (AI) has significantly transformed data management and cybersecurity, leading to the development of AI-driven backup solutions that enhance data protection and resilience. As cyber threats continue to escalate, organizations are increasingly adopting AI-powered systems to improve threat detection, automate recovery processes, and ensure data privacy. Machine Learning (ML) and Deep Learning (DL) play a crucial role in these solutions by identifying anomalies, predicting potential risks, and automating the response to security breaches. These AI-driven systems provide advanced, proactive defenses by continuously adapting to new cyber threats, offering superior efficiency and performance compared to traditional backup methods, which often lack the adaptability and real-time monitoring necessary to address the dynamic nature of modern cyber risks.

Keywords: Artificial Intelligence, Data Privacy, Threat Detection, Machine Learning, Backup Solutions, Cybersecurity, Deep Learning, Cloud Computing.

References:
1. Tan, M., Le, Q. V., & Dhillon, A. (2019). EfficientNet: Rethinking model scaling for convolutional neural networks. Proceedings of the 36th International Conference on Machine Learning (ICML), 6105–6114. PMLR.
2. Liu, Y., Zheng, Y., & Huang, X. (2020). A multimodal deep learning model for colorectal cancer diagnosis using histopathology and endoscopic images. Journal of Medical Imaging, 7(1), 011012.
3. Esteva, A., Kuprel, B., Novoa, R. A., et al. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115–118.
4. K. Sundar, V. K, K. S. N and E. Manohar, "Automated Polyp Detection in Colorectal Cancer Diagnosis using Deep Learning Techniques," 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, 2024, pp. 1726-1731, doi: 10.1109/I-SMAC61858.2024.10714685.
5. Zhu, W., & Han, J. (2019). Colorectal polyp detection in colonoscopy images using deep learning methods. IEEE Transactions on Biomedical Engineering, 66(5), 1304-1312.
6. Saritha Kondapally, "Optimizing Neural Network Language Models for Healthcare - A Focus on Speech Recognition and Spelling Correction", International Journal of Science and Research (IJSR), Volume 13 Issue 12, December 2024, pp. 264-265, https://www.ijsr.net/getabstract.php?paperid=SR241203002738, DOI: https://www.doi.org/10.21275/SR241203002738
7. Xie, Y., & Zhang, S. (2020). Deep learning in histopathology image analysis: A survey. IEEE Access, 8, 108344-108359.
8. Chauhan, S., & Gupta, R. (2020). A review on deep learning techniques for colorectal cancer detection using colonoscopy images. Computers in Biology and Medicine, 125, 103973.
9. Zhang, X., Wang, S., & Liu, L. (2018). Convolutional neural networks for the classification of colorectal polyps in colonoscopy images. International Journal of Computer Assisted Radiology and Surgery, 13(7), 1065-1073.
10. Hu, X., & Li, H. (2021). Multimodal fusion for medical image analysis: A review. IEEE Reviews in Biomedical Engineering, 14, 17-30.
11. Shboul, Z., & Ali, M. (2020). Polyp detection in colonoscopy images using convolutional neural networks and deep transfer learning. Medical Image Analysis, 64, 101741.
12. Li, C., Zhang, Y., & Bai, Y. (2019). Deep learning-based polyp detection in colonoscopy using a convolutional neural network. IEEE Journal of Biomedical and Health Informatics, 23(1), 78-88.
13. S. K. Suvvari, "An exploration of agile scaling frameworks: Scaled agile framework (SAFe), large-scale scrum (LeSS), and disciplined agile delivery (DAD)," Int. J. Recent Innov. Trends Comput. Commun., vol. 7, no. 12, pp. 9–17, 2019.
14. Suman Chintala, "Harnessing AI and BI for Smart Cities: Transforming Urban Life with Data Driven Solutions", International Journal of Science and Research (IJSR), Volume 13 Issue 9, September 2024, pp. 337-342, https://www.ijsr.net/getabstract.php?paperid=SR24902235715, DOI: https://www.doi.org/10.21275/SR24902235715
15. Sudheer Amgothu, "An End-to-End CI/CD Pipeline Solution Using Jenkins and Kubernetes", International Journal of Science and Research (IJSR), Volume 13 Issue 8, August 2024, pp. 1576-1578, https://www.ijsr.net/getabstract.php?paperid=SR24826231120, DOI: https://www.doi.org/10.21275/SR24826231120
16. Geetesh Sanodia, “Enhancing Salesforce CRM with Artificial Intelligence”, International Journal of Artificial Intelligence Research and Development (IJAIRD), 1(1), 2023, pp. 52-61.
17. Shrikaa Jadiga, "Big Data Engineering Using Hadoop and Cloud (GCP/AZURE) Technologies," International Journal of Computer Trends and Technology, vol. 72, no. 8, pp.60-69, 2024.,
18. Naga Ramesh Palakurti, 2022. "AI Applications in Food Safety and Quality Control" ESP Journal of Engineering & Technology Advancements 2(3): 48-61.
19. Shashikant Tank Kumar Mahendrabhai Shukla, Nimeshkumar Patel, Veeral Patel, 2024.” AI BASED CYBER SECURITY DATA ANALYTIC DEVICE”, 414425-001,
20. Muthukumaran Vaithianathan, "Real-Time Object Detection and Recognition in FPGA-Based Autonomous Driving Systems," International Journal of Computer Trends and Technology, vol. 72, no. 4, pp. 145-152, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I4P119
21. 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.
22. 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.
23. 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.
24. 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
25. Rao, Deepak, and Sourabh Sharma. "Secure and Ethical Innovations: Patenting Ai Models for Precision Medicine, Personalized Treatment, and Drug Discovery in Healthcare." International Journal of Business Management and Visuals, ISSN: 3006-2705 6.2 (2023): 1-8.
26. Dhameliya, N. (2022). Power Electronics Innovations: Improving Efficiency and Sustainability in Energy Systems. Asia Pacific Journal of Energy and Environment, 9(2), 71-80.
27. Karthik Hosavaranchi Puttaraju, "Harnessing Disruptive Technologies: Strategic Approach to Retail Product Innovation", International Journal of Scientific Research in Engineering and Management (IJSREM), VOLUME: 08 ISSUE: 01 | JAN - 2024.
28. Sateesh Reddy Adavelli, "Re-Envisioning P&C Insurance Claims Processing: How AI is Making Claims Faster, Fairer, and More Transparent", International Journal of Innovative Research in Computer and Communication Engineering, Volume 12, Issue 3, March 2024.
29. Karthik Chowdary Tsaliki, "Leveraging Large Language Models for Fraud Prevention in E-commerce", International Journal of Innovative Research in Science, Engineering and Technology, Volume 13, Issue 8, August 2024.
30. N. R. Palakurti, “Machine Learning Mastery: Practical Insights for Data Processing”, Practical Applications of Data Processing, Algorithms, and Modeling, p. 16-29, 2024.
31. Chandrakanth Lekkala 2023. “Implementing Efficient Data Versioning and Lineage Tracking in Data Lakes”, Journal of Scientific and Engineering Research, Volume 10, Issue 8, pp. 117-123.
32. Sunil Kumar Suvvar, Dr. Rohini Sawalkar, Dr. Vishwanath Karad, "The Effect of Team Size and Dynamics on Agile Estimation", Innovative Research Thoughts, Volume: 09, Issue: 05 | October - December 2023.
33. 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
34. SUNIL KUMAR SUVVARI, DR. ROHINI SAWALKAR. (2024). The Role of Leadership in Project Success: A Quantitative Analysis. International Journal of Communication Networks and Information Security (IJCNIS), 16(4), 1146–1157. Retrieved from https://ijcnis.org/index.php/ijcnis/article/view/7319
35. Sainath Muvva, “DataMesh: A Decentralized Approach to Big Data and AI/ML Management”, Internaitonal Journal of Scientific Research in Engineering and Management, Volume: 08 Issue: 01 | Jan – 2024.
36. Julian, Anitha , Mary, Gerardine Immaculate , Selvi, S. , Rele, Mayur & Vaithianathan, Muthukumaran (2024) Blockchain based solutions for privacy-preserving authentication and authorization in networks, Journal of Discrete Mathematical Sciences and Cryptography, 27:2-B, 797–808, DOI: 10.47974/JDMSC-1956
37. Lekkala, Chandrakanth, AI-Driven Dynamic Resource Allocation in Cloud Computing: Predictive Models and Real-Time Optimization (February 06, 2024). J Artif Intell Mach Learn & Data Sci | Vol: 2 & Iss: 2, Available at SSRN: https://ssrn.com/abstract=4908420 or http://dx.doi.org/10.2139/ssrn.4908420
38. Sainath Muvva, 2021. "Cloud-Native Data Engineering: Leveraging Scalable, Resilient, and Efficient Pipelines for the Future of Data", ESP Journal of Engineering & Technology Advancements 1(2): 287-292.
39. 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.
40. 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.
41. 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.
42. Nimeshkumar Patel, 2022. “Quantum Cryptography In Healthcare Information Systems: Enhancing Security in Medical Data Storage and Communication”, Journal of Emerging Technologies and Innovative Research, volume 9, issue 8, pp.g193-g202.
43. 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.
44. 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.
45. Shashikant Tank Kumar Mahendrabhai Shukla, Nimeshkumar Patel, Veeral Patel, 2024. ”AI Based Cyber Security Data Analytic Device”, 414425-001.
46. Bhat, 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.
47. Muthukumaran Vaithianathan, Mahesh Patil, Shunyee Frank Ng, Shiv Udkar, 2023. "Comparative Study of FPGA and GPU for High-Performance Computing and AI", ESP International Journal of Advancements in Computational Technology (ESP-IJACT), Volume 1, Issue 1: 37-46.
48. Chanthati, Sasibhushan Rao. (2022). A Centralized Approach To Reducing Burnouts in the I t Industry Using Work Pattern Monitoring Using Artificial Intelligence. International Journal on Soft Computing Artificial Intelligence and Applications. Sasibhushan Rao Chanthati. Volume-10, Issue-1, PP 64-69.
49. Chanthati, Sasibhushan Roa. (2021). A segmented approach to encouragement of entrepreneurship using data science. World Journal of Advanced Engineering Technology and Science. https://doi.org/10.30574/wjaets.2024.12.2.0330.
50. Aparna K Bhat, Rajeshwari Hegde, 2014. “Comprehensive Analysis of Acoustic Echo Cancellation Algorithms on DSP Processor”, International Journal of Advance Computational Engineering and Networking (IJACEN), volume 2, Issue 9, pp.6-11.
51. Bhat, A., & Gojanur, V. (2015). Evolution of 4g: A Study. International Journal of Innovative Research in ComputerScience & Engineering (IJIRCSE). Booth, K. (2020, December 4). How 5G is breaking new ground in the construction industry. BDC Magazine.https://bdcmagazine.com/2020/12/how-5g-is-breaking-new-ground-in-the-constructionindustry/.