ICETETI-2024 | View PDF
Paper Id:ICETETI-MSM135
doi: 10.71141/30485037/ICETETI-MSM135

Best Practices for Integrating AI into Backup Security for Enhanced Threat Detection and Data Protection

Benjamin Thomas, Muhammadu Sathik Raja

Citation:
Benjamin Thomas, Muhammadu Sathik Raja, "Best Practices for Integrating AI into Backup Security for Enhanced Threat Detection and Data Protection", International Journal of Multidisciplinary on Science and Management, pp. 256-261, 2024.

Abstract:
AI plays a crucial role in enhancing backup security by addressing the limitations of traditional methods like encryption and access control, especially in detecting and mitigating real-time cyber threats such as ransomware and insider attacks. Key AI techniques, including machine learning, anomaly detection, and predictive analytics, enable proactive measures in backup systems, such as detecting unusual data access, predicting vulnerabilities, automating recovery, and improving data integrity through validation mechanisms. Research methodologies, including literature reviews, experiments, and case studies, have demonstrated AI's effectiveness in securing backup data and detecting threats. However, challenges like computational overhead, explainability, and adversarial attacks remain, with future research focusing on developing self-healing backup systems and improving AI transparency.

Keywords: Artificial Intelligence (AI), Backup Security, Threat Detection, Data Protection, Machine Learning (ML), Anomaly Detection, Predictive Analytics, Cybersecurity.

References:
1. Taresh Mehra, 2024. “Fortifying Data and Infrastructure: A Strategic Approach to Modern Security”, International Journal of Management, IT & Engineering (IJMRA), Vol. 14 Issue 8, August 2024.
2. European Union. (2018). General Data Protection Regulation (GDPR). Official Journal of the European Union. https://gdpr-info.eu/
3. Taresh Mehra."Optimizing Data Protection: Selecting the Right Storage Devices for Your Strategy", Volume 12, Issue IX, International Journal for Research in Applied Science and Engineering Technology (IJRASET) Page No: 718-719, ISSN : 2321-9653, www.ijraset.com
4. Apurva Kumar, Shilpa Priyadarshini, “Adaptive AI Infrastructure: A Containerized Approach For Scalable Model Deployment”, International Research Journal of Modernization in Engineering Technology and Science, Volume:06/Issue:11/November-2024, https://www.doi.org/10.56726/IRJMETS64700
5. Taresh Mehra, “A Systematic Approach to Implementing Two-Factor Authentication for Backup and Recovery Systems”, International Research Journal of Modernization in Engineering Technology and Science, Volume:06/Issue:09/September-2024.
6. Geetesh Sanodia, “Framework for Efficient Data Management in Salesforce Using APIS”, International Journal of Computer Applications (IJCA), 2(2), 2021. pp. 29-38.
7. Shrikaa Jadiga, A. S. (2024). AI Applications for Improving Transportation and Logistics Operations. International Journal of Intelligent Systems and Applications in Engineering, 12(3), 2607–2617
8. S. K. Suvvari, "Managing project scope creep: Strategies for containing changes," Innov. Res. Thoughts, vol. 8, no. 4, pp. 360–371, 2022.
9. 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.
10. Kanagarla, Krishna Prasanth Brahmaji, Quantum Computing For Data Analytics. Available at SSRN: https://ssrn.com/abstract=5017531 or http://dx.doi.org/10.2139/ssrn.5017531
11. 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
12. Suman Chintala, "Strategic Forecasting: AI-Powered BI Techniques", International Journal of Science and Research (IJSR), Volume 13 Issue 8, August 2024, pp. 557-563, https://www.ijsr.net/getabstract.php?paperid=SR24803092145, DOI: https://www.doi.org/10.21275/SR24803092145
13. 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.
14. Sateesh Reddy Adavelli, "Autonomous Claims Processing: Building Self-Driving Workflows with Gen AI and ML in Guidewire", International Journal of Science and Research (IJSR), Volume 13 Issue 12, December 2024, pp. 1348-1357, https://www.ijsr.net/getabstract.php?paperid=SR241221052213, DOI: https://www.doi.org/10.21275/SR241221052213
15. 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.
16. Naga Ramesh Palakurti, 2022. "AI Applications in Food Safety and Quality Control" ESP Journal of Engineering & Technology Advancements 2(3): 48-61.
17. Naga Lalitha Sree Thatavarthi, "Building a Robust E-Commerce Ecosystem with Magento and Microservices", International Journal of Science and Research (IJSR), Volume 10 Issue 1, January 2021, pp. 1653-1655, https://www.ijsr.net/getabstract.php?paperid=SR24615141905, DOI: https://www.doi.org/10.21275/SR24615141905
18. 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.
19. 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.
20. 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
21. 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.
22. D. Rao, "Multimedia Based Intelligent Content Networking for Future Internet," 2009 Third UKSim European Symposium on Computer Modeling and Simulation, Athens, Greece, 2009, pp. 55-59, doi: 10.1109/EMS.2009.108.
23. Mihir Mehta, 2024,” A Comparative Study Of AI Code Bots: Efficiency, Features, And Use Cases”, International Journal cience and Research Archive, volume 13, Issue 1, 595–602,
24. N. R. Palakurti, “Machine Learning Mastery: Practical Insights for Data Processing”, Practical Applications of Data Processing, Algorithms, and Modeling, p. 16-29, 2024.
25. Hybrid Transformation Model: A Customized Framework for the Digital-First World - Karthik Hosavaranchi Puttaraju - IJFMR Volume 4, Issue 1, January-February 2022.
26. Karthik Chowdary Tsaliki, "AI for Resilient Infrastructure in Cloud: Proactive Identification and Resolution of System Downtimes", International Research Journal of Engineering and Technology (IRJET), Volume: 11 Issue: 08 | Aug 2024.
27. 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.
28. 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.
29. 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.
30. 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
31. 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.
32. 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
33. 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.
34. Nimeshkumar Patel, 2021. ”Sustainable Smart Cities: Leveraging Iot and Data Analytics for Energy Efficiency and Urban Development”, Journal of Emerging Technologies and Innovative Research, volume 8, Issue 3, pp.313-319.
35. 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.
36. 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
37. Arnab Dey (2022). Automation for CI/CD Pipeline for Code Delivery with Multiple Technologies. Journal of Mathematical & Computer Applications. SRC/JMCA-170. DOI: doi.org/10.47363/JMCA/2022(1)138
38. 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.
39. 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
40. 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.
41. 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.
42. 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.
43. 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.
44. 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.
45. 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.
46. 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.
47. M. Rele and D. Patil, "Revolutionizing Liver Disease Diagnosis: AI-Powered Detection and Diagnosis", International Journal of Science and Research (IJSR), 2023.https://doi.org/10.21275/SR231105021910
48. 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
49. Bodapati, J.D., Veeranjaneyulu, N. & Yenduri, L.K. A Comprehensive Multi-modal Approach for Enhanced Product Recommendations Based on Customer Habits. J. Inst. Eng. India Ser. B (2024). https://doi.org/10.1007/s40031-024-01064-5
50. V. Kakani, B. Kesani, N. Thotakura, J. D. Bodapati and L. K. Yenduri, "Decoding Animal Emotions: Predicting Reactions with Deep Learning for Enhanced Understanding," 2024 IEEE 9th International Conference for Convergence in Technology (I2CT), Pune, India, 2024, pp. 1-6, doi: 10.1109/I2CT61223.2024.10543616.