The Impact of Machine Learning on Gaming Security
DOI:
https://doi.org/10.36676/dira.v12.i3.100Keywords:
Machine learning, gaming security, real-time threat detection, cybersecurity in gamingAbstract
The gaming business has been seeing tremendous expansion in recent years, which can be attributed to the convergence of technological breakthroughs and an ever-expanding user base respectively. As the gaming business continues to develop, the security risks that target gaming platforms also continue to improve. As a result, it is very necessary to implement advanced protection measures. The use of machine learning (ML) has emerged as a transformational force in the enhancement of gaming security. It provides novel ways to tackle a variety of cyber threats and ensures that players have a gaming experience that is both secure and fair. The purpose of this study is to investigate the influence that machine learning has on gaming security, with a particular emphasis on its applications, strengths, and weaknesses.
Gaming firms are rethinking their approach to security problems as a result of the use of machine learning algorithms, especially those that make use of artificial intelligence (AI). One of the most important uses of machine learning in gaming security is the detection and prevention of fraudulent activity. When it comes to keeping up with the ever-evolving strategies used by fraudsters, traditional rule-based systems sometimes suffer. On the other hand, machine learning algorithms are able to examine enormous volumes of data and recognise patterns that are suggestive of fraudulent behaviour. This enables real-time identification and prevention of fraudulent actions such as account takeovers, cheating, and other malevolent acts.
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"Best Practices and Challenges in Data Migration for Oracle Fusion Financials", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 5, page no.l294_l314, May 2024, Available :http://www.ijnrd papers/IJNRD2405837.pdf
"Advanced API Integration Techniques Using Oracle Integration Cloud (OIC)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.n143-n152, April-2023, Available :http://www.jetir papers/JETIR2304F21.pdf
DASAIAH PAKANATI,, PROF.(DR.) PUNIT GOEL,, PROF.(DR.) ARPIT JAIN, "Optimizing Procurement Processes: A Study on Oracle Fusion SCM", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.10, Issue 1, Page No pp.35-47, March 2023, Available at : http://www.ijrar IJRAR23A3238.pdf
Pakanati, D., Pandey, P., & Siddharth, E. (2022). Integrating REST APIs with Oracle Cloud: A comparison of Python and AWS Lambda. TIJER International Journal of Engineering Research, 9(7), 82-94. tijer tijer/viewpaperforall.php?paper=TIJER2207013
Pakanati, D. (2024). Effective strategies for BI Publisher report design in Oracle Fusion. International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), 6(8). doi 10.60800016624
Pakanati, D., Goel, B., & Tyagi, P. (2021). Troubleshooting common issues in Oracle Procurement Cloud: A guide. International Journal of Computer Science and Public Policy, 11(3), 14-28. rjpn ijcspub/viewpaperforall.php?paper=IJCSP21C1003
Pakanati, D., Goel, E. L., & Kushwaha, D. G. S. (2023). Implementing cloud-based data migration: Solutions with Oracle Fusion. Journal of Emerging Trends in Network and Research, 1(3), a1-a11. rjpn jetnr/viewpaperforall.php?paper=JETNR2303001
Pakanati, D., Singh, S. P., & Singh, T. (2024). Enhancing financial reporting in Oracle Fusion with Smart View and FRS: Methods and benefits. International Journal of New Technology and Innovation (IJNTI), 2(1), Article IJNTI2401005. tijer tijer/viewpaperforall.php?paper=TIJER2110001
Pakanati, D., Goel, P. (Dr.), & Renuka, A. (2024). Building custom business processes in Oracle EBS using BPEL: A practical approach. International Journal of Research in Mechanical, Electronics, Electrical, and Technology, 12(6). Received: 02/04/2024; Accepted: 03/05/2024; Published: 07/06/2024. Retrieved from raijmr ijrmeet/wp-content/uploads/2024/08/IJRMEET_2024_vol12_issue_01_01.pdf
HARSHITA CHERUKURI, VIKHYAT GUPTA, DR. SHAKEB KHAN, "Predictive Maintenance in Financial Services Using AI", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 2, pp.h98-h113, February 2024, Available at :http://www.ijcrt papers/IJCRT2402834.pdf
"Strategies for Product Roadmap Execution in Financial Services Data Analytics", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.d750-d758, January-2023, Available :http://www.ijnrd papers/IJNRD2301389.pdf
"Customer Satisfaction Improvement with Feedback Loops in Financial Services", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.q263-q275, May 2024, Available :http://www.jetir papers/JETIR2405H38.pdf
Cherukuri, H., Pandey, P., & Siddharth, E. (2020). Containerized data analytics solutions in on-premise financial services. International Journal of Research and Analytical Reviews (IJRAR), 7(3), 481-491. http://www.ijrar viewfull.php?&p_id=IJRAR19D5684
Cherukuri, H., Singh, S. P., & Vashishtha, S. (2020). Proactive issue resolution with advanced analytics in financial services. The International Journal of Engineering Research, 7(8), a1-a13. tijer tijer/viewpaperforall.php?paper=TIJER2008001"
"Optimizing Data Processing for Financial Services Platforms
Author : Harshita Cherukuri1, Independent Researcher Villa 188, My Home Ankura, Sector B, Radial Road-7, Exit No 2, Tellapur, Cyberabad-sangareddy, 502032, Telangana, India , Dr. Bhawna Goel , Dr. Poornima Tyagi
DOI LINK : 10.56726/IRJMETS60903 doi 10.56726/IRJMETS60903"
Cherukuri, H., Goel, E. L., & Kushwaha, G. S. (2021). Monetizing financial data analytics: Best practice. International Journal of Computer Science and Publication (IJCSPub), 11(1), 76-87. rjpn ijcspub/viewpaperforall.php?paper=IJCSP21A1011
Cherukuri, H., Chaurasia, A. K., & Singh, T. (2024). Integrating machine learning with financial data analytics. Journal of Emerging Trends in Networking and Research, 1(6), a1-a11. rjpn jetnr/viewpaperforall.php?paper=JETNR2306001
Cherukuri, H., Goel, P., & Renuka, A. (2024). Big-Data tech stacks in financial services startups. International Journal of New Technologies and Innovations, 2(5), a284-a295. rjpn ijnti/viewpaperforall.php?paper=IJNTI2405030
Cherukuri, H. (2024). AWS full stack development for financial services. International Journal of Emerging Development and Research (IJEDR), 12(3), 14-25. rjwave ijedr/papers/IJEDR2403002.pdf
PATTABI RAMA RAO, OM GOEL, DR. LALIT KUMAR, "Optimizing Cloud Architectures for Better Performance: A Comparative Analysis", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 7, pp.g930-g943, July 2021, Available at :http://www.ijcrt papers/IJCRT2107756.pdf
"Building and Deploying Microservices on Azure: Techniques and Best Practices", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.6, Issue 3, page no.34-49, March-2021, Available :http://www.ijnrd papers/IJNRD2103005.pdf
"Continuous Integration and Deployment: Utilizing Azure DevOps for Enhanced Efficiency", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.i497-i517, April-2022, Available :http://www.jetir papers/JETIR2204862.pdf
Rao, P. R., Goel, P., & Jain, A. (2022). Data management in the cloud: An in-depth look at Azure Cosmos DB. International Journal of Research and Analytical Reviews, 9(2), 656-671. http://www.ijrar viewfull.php?&p_id=IJRAR22B3931
Rao, P. R., Goel, P., & Renuka, A. (2023). Creating efficient ETL processes: A study using Azure Data Factory and Databricks. The International Journal of Engineering Research, 10(6), 816-829. tijer tijer/viewpaperforall.php?paper=TIJER2306330
Rao, P. R., Pandey, P., & Siddharth, E. (Year). Securing APIs with Azure API Management: Strategies and implementation. Journal Volume:06 Issue:08 August-2024 International Research Journal of Modernization in Engineering Technology and Science doi 10.56726/IRJMETS60918
Pattabi Rama Rao, Priyanshi, & Prof.(Dr) Sangeet Vashishtha. (2023). Angular vs. React: A comparative study for single page applications. International Journal of Computer Science and Programming, 13(1), 875-894. rjpn ijcspub/viewpaperforall.php?paper=IJCSP23A1361
Rama Rao, P., Jain, S., & Tyagi, P. (2024). Enhancing web application performance: ASP.NET Core MVC and Azure solutions. Journal of Emerging Trends in Network Research, 2(5), a309-a326. rjpn jetnr/viewpaperforall.php?paper=JETNR2405036
Rao, P. R., Goel, L., & Kushwaha, G. S. (2023). Analyzing data and creating reports with Power BI: Methods and case studies. International Journal of New Technology and Innovation, 1(9), a1-a15. rjpn ijnti/viewpaperforall.php?paper=IJNTI2309001
Pattabi Rama Rao, Chaurasia, A. K., & Singh, S. P. (2023). Modern web design: Utilizing HTML5, CSS3, and responsive techniques. The International Journal of Research and Innovation in Dynamics of Engineering, 1(8), a1-a18. tijer jnrid/viewpaperforall.php?paper=JNRID2308001
PAVAN KANCHI,, LAGAN GOEL,, DR.GAURI SHANKER KUSHWAHA,, "Comparative Analysis of Refurbishment Material Handling in SAP PS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 1, pp.f18-f36, January 2023, Available at :http://www.ijcrt papers/IJCRT2301620.pdf
"Integration of SAP PS with Legacy Systems in Medical Device Manufacturing: A Comparative Study", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 5, page no.I315-I329, May 2024, Available :http://www.ijnrd papers/IJNRD2405838.pdf
"Enhancements in SAP Project Systems (PS) for the Healthcare Industry: Challenges and Solutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.96-108, September-2020, Available :http://www.jetir papers/JETIR2009478.pdf
PAVAN KANCHI, AKSHUN CHHAPOLA, DR. SANJOULI KAUSHIK, "Synchronizing Project and Sales Orders in SAP: Issues and Solutions", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.7, Issue 3, Page No pp.466-480, August 2020, Available at : http://www.ijrar IJRAR19D5683.pdf
Kanchi, P., Gupta, V., & Khan, S. (2021). Configuration and management of technical objects in SAP PS: A comprehensive guide. The International Journal of Engineering Research, 8(7). tijer tijer/papers/TIJER2107002.pdf
Kanchi, P., Goel, O., & Gupta, P. (2024). Data migration strategies for SAP PS: Best practices and case studies. International Research Journal of Modernization in Engineering, Technology and Science (IRJMETS), 8(8). doi 10.56726/IRJMETS60925
Kanchi, P., Goel, P., & Jain, A. (2022). SAP PS implementation and production support in retail industries: A comparative analysis. International Journal of Computer Science and Production, 12(2), 759-771. Retrieved from rjpn ijcspub/viewpaperforall.php?paper=IJCSP22B1299
Kanchi, P., Pandey, P., & Goel, O. (2023). Leveraging SAP Commercial Project Management (CPM) in construction projects: Benefits and case studies. Journal of Emerging Trends in Networking and Robotics, 1(5), a1-a20. rjpn jetnr/viewpaperforall.php?paper=JETNR2305001
Kanchi, P., Priyanshi, E., & Vashishtha, S. (2023). Enhancing business processes with SAP S/4 HANA: A review of case studies. International Journal of New Technologies and Innovations, 1(6), a1-a12. doi [Insert DOI here]
Kanchi, P., Jain, S., & Tyagi, P. (2022). Integration of SAP PS with Finance and Controlling Modules: Challenges and Solutions. Journal of Next-Generation Research in Information and Data, 2(2). Retrieved from tijer jnrid/papers/JNRID2402001.pdf
SHANMUKHA EETI,, PRIYANSHI ,, PROF.(DR) SANGEET VASHISHTHA,, "Optimizing Data Pipelines in AWS: Best Practices and Techniques", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 3, pp.i351-i365, March 2023, Available at :http://www.ijcrt papers/IJCRT2303992.pdf
Key Technologies and Methods for Building Scalable Data Lakes", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 7, page no.1-21, July-2022, Available :http://www.ijnrd papers/IJNRD2207179.pdf
"Efficient ETL Processes: A Comparative Study of Apache Airflow vs. Traditional Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.g174-g184, August-2022, Available :http://www.jetir papers/JETIR2208624.pdf
SHANMUKHA EETI, DR. AJAY KUMAR CHAURASIA,, DR. TIKAM SINGH,, "Real-Time Data Processing: An Analysis of PySpark's Capabilities", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.8, Issue 3, Page No pp.929-939, September 2021, Available at : http://www.ijrar IJRAR21C2359.pdf
Eeti, S., Goel, P. (Dr.), & Renuka, A. (2021). Strategies for migrating data from legacy systems to the cloud: Challenges and solutions. TIJER (The International Journal of Engineering Research), 8(10), a1-a11. tijer tijer/viewpaperforall.php?paper=TIJER2110001
Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. International Journal of Computer Science and Information Technology, 10(1), 31-42. rjpn ijcspub/papers/IJCSP20B1006.pdf
Eeti, E. S., Renuka, A., & Pandian, E. P. K. G. (2024). Preparing data for machine learning with cloud infrastructure: Methods and challenges. International Journal of Innovative Research in Technology, 9(8), 923-929. ijirt Article?manuscript=167453
UGC and ISSN Approved - UGC Approved Journal No: 63975. Impact Factor: 7.367 (Calculated by Google Scholar)."
Eeti, E. S., Jain, P. A., & Goel, E. O. (2023). Creating robust data pipelines: Kafka vs. Spark. Journal of Emerging Technologies in Networking and Research, 1(3), a12-a22. rjpn jetnr/viewpaperforall.php?paper=JETNR2303002
Eeti, S., Jain, A., & Goel, P. (2023). A comparative study of NoSQL databases: MongoDB, HBase, and Phoenix. International Journal of New Trends in Information Technology, 1(12), a91-a108. rjpn ijnti/papers/IJNTI2312013.pdf
Eeti, E. S. (2024). Architectural patterns for big data analytics in multi-cloud environments. The International Journal of Engineering Research, 8(3), 16-25. tijer tijer/viewpaperforall.php?paper=TIJER2103003
Shreyas Mahimkar, DR. PRIYA PANDEY, OM GOEL, "Utilizing Machine Learning for Predictive Modelling of TV Viewership Trends", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 7, pp.f407-f420, July 2022, Available at :http://www.ijcrt papers/IJCRT2207721.pdf
"Exploring and Ensuring Data Quality in Consumer Electronics with Big Data Techniques", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 8, page no.22-37, August-2022, Available :http://www.ijnrd papers/IJNRD2208186.pdf
"Analysing TV Advertising Campaign Effectiveness with Lift and Attribution Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 9, page no.e365-e381, September-2021, Available :http://www.jetir papers/JETIR2109555.pdf
SHREYAS MAHIMKAR, LAGAN GOEL, DR.GAURI SHANKER KUSHWAHA, "Predictive Analysis of TV Program Viewership Using Random Forest Algorithms", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.8, Issue 4, Page No pp.309-322, October 2021, Available at : http://www.ijrar IJRAR21D2523.pdf
Mahimkar, E. S., Chhapola, E. A., & Goyal, M. (2023). Enhancing TV audience rating predictions through linear regression models. Journal of New Research in Data Science, 1(3), Article JNRID2303002. doi 10.XXXX/JNRID2303002
Mahimkar, S., Goel, O., & Jain, A. (n.d.). Applying correlation analysis and ANOVA to understand TV viewership patterns.
Mahimkar, E. S., Jain, P. (Dr.), & Goelndian, E. O. (2024). Targeting TV viewers more effectively using K-means clustering. International Journal of Innovative Research in Technology, 9(7), 973-984. ijirt Article?manuscript=167451
Mahimkar, S., Jain, A., & Goel, P. (2024). Data modelling techniques for TV advertising metrics in SQL and NoSQL environments. Journal of Emerging Technologies and Novel Research, 1(4), a16-a27. rjpn jetnr/viewpaperforall.php?paper=JETNR2304002
Mahimkar, E. S., Agrawal, K. K., & Jain, S. (2024). Extracting insights from TV viewership data with Spark and Scala. International Journal of New Trends in Informatics, 2(1), a44-a65. Retrieved from rjpn ijnti/papers/IJNTI2401006.pdf
Mahimkar, E. S. (2021). Predicting crime locations using big data analytics and Map-Reduce techniques. The International Journal of Engineering Research, 8(4), 11-21. tijer tijer/viewpaperforall.php?paper=TIJER2104002
SUMIT SHEKHAR, PROF.(DR.) PUNIT GOEL, PROF.(DR.) ARPIT JAIN, "Comparative Analysis of Optimizing Hybrid Cloud Environments Using AWS, Azure, and GCP", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 8, pp.e791-e806, August 2022, Available at :http://www.ijcrt papers/IJCRT2208594.pdf
"Evaluating Scalable Solutions: A Comparative Study of AWS, Azure, and GCP", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 8, page no.20-33, August-2024, Available :http://www.ijnrd papers/IJNRD2109004.pdf
"Implementing OKRs and KPIs for Successful Product Management: A Case Study Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.f484-f496, October-2021, Available :http://www.jetir papers/JETIR2110567.pdf
Sumit Shekhar, SHALU JAIN, DR. POORNIMA TYAGI, "Advanced Strategies for Cloud Security and Compliance: A Comparative Study", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.7, Issue 1, Page No pp.396-407, January 2020, Available at : http://www.ijrar IJRAR19S1816.pdf
Shekhar, E. S., Jain, E. S., & Khan, D. S. (2023). Effective product management for SaaS growth: Strategies and outcomes. Journal of New Research in Innovation and Development, 1(4), a1-a14. tijer jnrid/viewpaperforall.php?paper=JNRID2304001
Shekhar, E. S., Goyal, D. S., & Jain, U. (2024). Enhancing customer engagement with AI and ML: Techniques and case studies. International Journal of Computer Science and Publications, 14(2), 1-15. rjpn ijcspub/viewpaperforall.php?paper=IJCSP24B1346
Shekhar, E. S., Jain, E. A., & Goel, P. (2024). Building cloud-native architectures from scratch: Best practices and challenges. International Journal of Innovative Research in Technology, 9(6), 824-829. ijirt Article?manuscript=167455
Shekhar, E. S., Agrawal, D. K. K., & Jain, E. S. (2023). Integrating conversational AI into cloud platforms: Methods and impact. Journal of Emerging Trends in Networking Research, 1(5), a21-a36. rjpn jetnr/viewpaperforall.php?paper=JETNR2305002
Shekhar, E. S., Jain, P. K., Jain, U., & Jain, S. (2024). Designing efficient supply chain solutions in the cloud: A comparative analysis. International Journal of New Technologies and Innovations, 2(2), a1-a21. rjpn ijnti/viewpaperforall.php?paper=IJNTI2402001
Shekhar, E. S. (2021). Managing multi-cloud strategies for enterprise success: Challenges and solutions. The International Journal of Emerging Research, 8(5), a1-a8. tijer tijer/viewpaperforall.php?paper=TIJER2105001
VENKATA RAMANAIAH CHINTHA, +D3:D12OM GOEL, DR. LALIT KUMAR, "Optimization Techniques for 5G NR Networks: KPI Improvement", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 9, pp.d817-d833, September 2021, Available at :http://www.ijcrt papers/IJCRT2109425.pdf
"Machine Learning in Wireless Communication: Network Performance", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 8, page no.27-47, August-2024, Available :http://www.ijnrd papers/IJNRD2110005.pdf
"Performance Impact of Anomaly Detection Algorithms on Software Systems", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.K672-K685, June-2024, Available :http://www.jetir papers/JETIR2406A80.pdf
VENKATA RAMANAIAH CHINTHA, PRIYANSHI, PROF.(DR) SANGEET VASHISHTHA, "5G Networks: Optimization of Massive MIMO", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.7, Issue 1, Page No pp.389-406, February-2020, Available at : http://www.ijrar IJRAR19S1815.pdf
Chintha, E. V. R., Jain, S., & Renuka, A. (2024). Automated test suites for 5G: Robot framework implementation. International Journal of Computer Science and Publication, 14(1), 370-387. rjpn ijcspub/viewpaperforall.php?paper=IJCSP24A1156
Chintha, V. R., Agrawal, K. K., & Jain, S. (2022). 802.11 Wi-Fi standards: Performance metrics. International Journal of Innovative Research in Technology, 9(5), 879. ijirt master/publishedpaper/IJIRT167456_PAPER.pdf
Chintha, E. V. R., Jain, P. K., & Jain, U. (2023). Call drops and accessibility issues: Multi-RAT networks analysis. Journal of Emerging Technologies and Network Research, 1(6), a12-a25. rjpn jetnr/viewpaperforall.php?paper=JETNR2306002
Chintha, E. V. R., Goel, S., & Pandia, P. K. G. (2024). Deep learning for network performance prediction. International Journal of Network and Telecommunications Innovation, 2(3), a112-a138. rjpn ijnti/viewpaperforall.php?paper=IJNTI2403016
Chintha, E. V. R. (2021). DevOps tools: 5G network deployment efficiency. The International Journal of Engineering Research, 8(6), 11-23. tijer tijer/viewpaperforall.php?paper=TIJER2106003
VISHESH NARENDRA PAMADI, DR. PRIYA PANDEY, OM GOEL, "Comparative Analysis of Optimization Techniques for Consistent Reads in Key-Value Stores", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 10, pp.d797-d813, October 2021, Available at :http://www.ijcrt papers/IJCRT2110459.pdf
"Effective Strategies for Building Parallel and Distributed Systems", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.5, Issue 1, page no.23-42, January-2020, Available :http://www.ijnrd papers/IJNRD2001005.pdf
"Comparative Analysis OF GRPC VS. ZeroMQ for Fast Communication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.937-951, February-2020, Available :http://www.jetir papers/JETIR2002540.pdf
VISHESH NARENDRA PAMADI, DR. AJAY KUMAR CHAURASIA, DR. TIKAM SINGH, "Creating Scalable VPS : Methods for Creating Scalable Virtual Positioning Systems", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.11, Issue 2, Page No pp.616-628, June 2024, Available at : http://www.ijrar IJRAR24B4701.pdf
Pamadi, V. N., Jain, U., & Goyal, M. (2024). Enhancing cloud infrastructure through software-defined orchestration. Journal of Network Research and Innovation Development, 2(5), a290-a305. tijer jnrid/viewpaperforall.php?paper=JNRID2405035
Pamadi, V. N., Chhapola, A., & Agarwal, N. (2023). Performance analysis techniques for big data systems. International Journal of Computer Science and Publications, 13(2), 217-236. doi 10.XXXX/IJCSP23B1501
Pamadi, V. N., Jain, P. K., & Jain, U. (2022, September). Strategies for developing real-time mobile applications. International Journal of Innovative Research in Technology, 9(4), 729. ijirt master/publishedpaper/IJIRT167457_PAPER.pdf
Pamadi, E. V. N., Goel, S., & Pandian, P. K. G. (2023). Effective resource management in virtualized environments. Journal of Emerging Technologies and Network Research, 1(7), a1-a10. rjpn jetnr/viewpaperforall.php?paper=JETNR2307001
Pamadi, V. N., Khan, S., & Goel, O. (2024). A comparative study on enhancing container management with Kubernetes. International Journal of New Technology and Innovations, 2(4), a289-a315. rjpn ijnti/viewpaperforall.php?paper=IJNTI2404037
Pamadi, E. V. N. (2021). Designing efficient algorithms for MapReduce: A simplified approach. TIJER, 8(7), 23-37. tijer tijer/viewpaperforall.php?paper=TIJER2107003
FNU ANTARA, DR. SARITA GUPTA, PROF.(DR) SANGEET VASHISHTHA, "A Comparative Analysis of Innovative Cloud Data Pipeline Architectures: Snowflake vs. Azure Data Factory", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 4, pp.j380-j391, April 2023, Available at :http://www.ijcrt papers/IJCRT23A4210.pdf
"Optimizing Modern Cloud Data Warehousing Solutions: Techniques and Strategies", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e772-e783, March-2023, Available :http://www.ijnrd papers/IJNRD2303501.pdf
"Transitioning Legacy HR Systems to Cloud-Based Platforms: Challenges and Solutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.h257-h277, July-2022, Available :http://www.jetir papers/JETIR2207741.pdf
FNU ANTARA, OM GOEL, DR. PRERNA GUPTA, "Enhancing Data Quality and Efficiency in Cloud Environments: Best Practices", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.9, Issue 3, Page No pp.210-223, August 2022, Available at : http://www.ijrar IJRAR22C3154.pdf
Antara, E. F., Jain, E. A., & Goel, P. (2023). Cost-efficiency and performance in cloud migration strategies: An analytical study. Journal of Network and Research in Distributed Systems, 1(6), a1-a13. tijer jnrid/viewpaperforall.php?paper=JNRID2306001
Antara, E. F., Khan, S., & Goel, O. (2021). Automated monitoring and failover mechanisms in AWS: Benefits and implementation. International Journal of Computer Science and Programming, 11(3), 44-54. rjpn ijcspub/viewpaperforall.php?paper=IJCSP21C1005
ER. FNU Antara, & ER. Pandi Kirupa Gopalakrishna Pandian. (2024). Network security measures in cloud infrastructure: A comprehensive study. International Journal of Innovative Research in Technology, 9(3), 916-925. ijirt Article?manuscript=167450
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