ICETETI-2024 | View PDF
Paper Id:ICETETI-MSM146
doi: 10.71141/30485037/ICETETI-MSM146
Resilience in Backup Systems: Leveraging AI, Blockchain, and Encryption to Combat Emerging Cyber Threats
Benjamin Clark, Muhammadu Sathik Raja Sathik Raja M.S
Citation:
Benjamin Clark, Muhammadu Sathik Raja Sathik Raja M.S, "Resilience in Backup Systems: Leveraging AI, Blockchain, and Encryption to Combat Emerging Cyber Threats", International Journal of Multidisciplinary on Science and Management, pp. 323-327, 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:
Resilience, Backup Systems, Artificial Intelligence, Blockchain, Encryption, Cyber Threats, Data Security, Anomaly Detection.
References:
1. 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.
2. Zhou, H., & Dong, D. (2020). "A review of deep learning-based methods for the detection of colorectal polyps in colonoscopy images." Journal of Healthcare Engineering, 2020, 1989052. https://doi.org/10.1155/2020/1989052
3. Naga Ramesh Palakurti, 2023. AI-Driven Personal Health Monitoring Devices: Trends and Future Directions, ESP Journal of Engineering & Technology Advancements 3(3): 41-51.
4. Geetesh Sanodia, “Enhancing Salesforce CRM with Artificial Intelligence”, International Journal of Artificial Intelligence Research and Development (IJAIRD), 1(1), 2023, pp. 52-61.
5. 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
6. Giridhar Kankanala, Sudheer Amgothu, 2024. Choosing Right Computing Resources for SAP Environments: Hyperscaler Connectivity, Networking For Your Server Management Strategies, ESP Journal of Engineering & Technology Advancements, 4(2): 134-136.
7. 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
8. Suman Chintala, "Next - Gen BI: Leveraging AI for Competitive Advantage", International Journal of Science and Research (IJSR), Volume 13 Issue 7, July 2024, pp. 972-977, https://www.ijsr.net/getabstract.php?paperid=SR24720093619, DOI: https://www.doi.org/10.21275/SR24720093619
9. S. K. Suvvari, "The impact of agile on customer satisfaction and business value," Innov. Res. Thoughts, vol. 6, no. 5, pp. 199–211, 2020.
10. DOCTOR A., VONDENBUSCH B., KOZAK J., Bone segmentation applying rigid bone position and triple shadow check method based on RF data, Acta of Bioengineering and Biomechanics, 2011, Vol. 13, 3–11.
11. Vishwanath Gojanur “Wireless Personal Health Monitoring System”, IJETCAS: International Journal of Emerging Technologies in Computational and Applied Sciences,eISSN: 2279-0055,pISSN: 2279-0047, 2014.
12. 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
13. Dasaratha, D. A., A. Prasad, M. Kumar, P. Kamal, S. V., S. (2024). Strategizing IoT Network Layer Security through Advanced Intrusion Detection Systems and AI-Driven Threat Analysis. Journal of Intelligent Systems and Internet of Things, (), 195-207. DOI: https://doi.org/10.54216/JISIoT.120215
14. Mihir Mehta, 2024,” A Comparative Study Of AI Code Bots: Efficiency, Features, And Use Cases”, International Journal of Science and Research Archive, volume 13, Issue 1, 595–602,
15. Karthik Hosavaranchi Puttaraju, "Accelerating Innovation Through Data-Enabled Agile Stage-Gate Processes: Implications For Business Strategy And Execution", International Journal of Core Engineering & Management, Volume-7, Issue-11, 2024.
16. 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
17. 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.
18. 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.
19. 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.
20. 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.
21. Sunil Kumar Suvvari, "Evolutionary Pathway: Agile Frameworks In It Project Management For Enhanced Product Delivery", International Research Journal of Modernization in Engineering Technology and Science, Volume:06/Issue:03/March-2024.
22. 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.
23. 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.
24. Sateesh Reddy Adavelli, 2022. "Building Resilient Digital Insurance Ecosystems: Guidewire, Cloud, And Cybersecurity Strategies", ESP Journal of Engineering & Technology Advancements 2(3): 140-153.
25. 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.
26. 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
27. 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.
28. 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.
29. 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.
30. 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
31. Dixit, A., Sabnis, A. and Shetty, A., 2022. Antimicrobial edible films and coatings based on N, O-carboxymethyl chitosan incorporated with ferula asafoetida (Hing) and adhatoda vasica (Adulsa) extract. Advances in Materials and Processing Technologies, 8(3), pp.2699-2715.
32. Mistry, H., Shukla, K., & Patel, N. (2024). Transforming Incident Responses, Automating Security Measures, and Revolutionizing Defence Strategies throughAI-Powered Cybersecurity. Journal of Emerging Technologies and Innovative Research, 11(3), 25. https://www.jetir.org/
33. Shashikant Tank Kumar Mahendrabhai Shukla, Nimeshkumar Patel, Veeral Patel, 2024. ”AI Based Cyber Security Data Analytic Device”, 414425-001.
34. Aparna Bhat, Rajeshwari Hegde, “Comprehensive Study of Renewable Energy Resources and Present Scenario in India,” 2015 IEEE International Conference on Engineering and Technology (ICETECH), Coimbatore, TN, India, 2015.
35. 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.
36. 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
37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
42. 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.