Reinforcing Firewall Rule Optimization in Dynamic Multi-Tenant Environments
Keywords:
Reinforcement learning, firewall optimization, multi-tenant environmentsAbstract
Firewall rule administration and optimization have become more difficult due to cloud computing and multi-tenant architectures. Rule-based methods fail in cloud systems with variable resources, network channels, and traffic patterns. For multi-tenant security and efficiency, this work optimises firewall rule sets using reinforcement learning (RL). RL lets networks update firewall rules in real time, balancing security and performance. This paper addresses RL mechanisms, firewall management integration, and empirical evidence of its usefulness. Practical deployment, model interpretability, and computation demands are considered.
Downloads
References
Madupati, Bhanuprakash. "Data Science in Public Relations Software Development." Available at SSRN 5076688 (2022).
Singu, Santosh Kumar. "Real-Time Data Integration: Tools, Techniques, and Best Practices." ESP Journal of Engineering & Technology Advancements 1.1 (2021): 158-172.
S. Kumari, “Kanban and Agile for AI-Powered Product Management in Cloud-Native Platforms: Improving Workflow Efficiency Through Machine Learning-Driven Decision Support Systems”, Distrib Learn Broad Appl Sci Res, vol. 5, pp. 867–885, Aug. 2019
Pillai, Vinayak. Anomaly Detection for Innovators: Transforming Data into Breakthroughs. Libertatem Media Private Limited, 2022.
Gondaliya, Jayraj, et al. "Hybrid security RSA algorithm in application of web service." 2018 1st International Conference on Data Intelligence and Security (ICDIS). IEEE, 2018.
Talati, Dhruvitkumar. "Quantum minds: Merging quantum computing with next-gen AI." (2023).
Kalluri, Kartheek. "Migrating Legacy System to Pega Rules Process Commander v7. 1." (2015).
Madupati, Bhanuprakash. "Machine Learning for Cybersecurity in Industrial Control Systems (ICS)." Available at SSRN 5076696 (2022).
S. Kumari, “Cloud Transformation and Cybersecurity: Using AI for Securing Data Migration and Optimizing Cloud Operations in Agile Environments”, J. Sci. Tech., vol. 1, no. 1, pp. 791–808, Oct. 2020.
Singu, Santosh Kumar. "Designing scalable data engineering pipelines using Azure and Databricks." ESP Journal of Engineering & Technology Advancements 1.2 (2021): 176-187.
Talati, Dhruvitkumar. "Artificial intelligence (AI) in mental health diagnosis and treatment." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 251-253.
Kalluri, Kartheek. "ENHANCING CUSTOMER SERVICE EFFICIENCY: A COMPARATIVE STUDY OF PEGA'S AI-DRIVEN SOLUTIONS."
S. Kumari, “AI-Powered Cloud Security for Agile Transformation: Leveraging Machine Learning for Threat Detection and Automated Incident Response ”, Distrib Learn Broad Appl Sci Res, vol. 6, pp. 467–488, Oct. 2020
Madupati, Bhanuprakash. "Cybersecurity in Day-to-Day Life: A Technical Perspective." Available at SSRN 5076692 (2022).
Talati, Dhruvitkumar. "Telemedicine and AI in Remote Patient Monitoring." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 254-255.
Singu, Santosh Kumar. "ETL Process Automation: Tools and Techniques." ESP Journal of Engineering & Technology Advancements 2.1 (2022): 74-85.
Kalluri, Kartheek. "Federate Machine Learning: A Secure Paradigm for Collaborative AI in Privacy-Sensitive Domains." International Journal on Science and Technolo-gy 13.4 (2022): 1-13.
Madupati, Bhanuprakash. "Cybersecurity in the Airline Industry: A Technical Perspective." Available at SSRN 5076684 (2022).
S. Kumari, “AI-Powered Cybersecurity in Agile Workflows: Enhancing DevSecOps in Cloud-Native Environments through Automated Threat Intelligence ”, J. Sci. Tech., vol. 1, no. 1, pp. 809–828, Dec. 2020.
Singu, Santosh Kumar. "Impact of Data Warehousing on Business Intelligence and Analytics." ESP Journal of Engineering & Technology Advancements 2.2 (2022): 101-113.
Kalluri, Kartheek. "Optimizing Financial Services Implementing Pega's Decisioning Capabilities for Fraud Detection." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 10.1 (2022): 1-9.
Talati, Dhruvitkumar. "AI in healthcare domain." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 256-262.
Kalluri, Kartheek. "Blockchain Augment AI: Securing Decision Pipelines Decentralized in Systems."
