Cyber Defense Strategy Orchestration Driven by Artificial Intelligence in Federated 5G Networks
Keywords:
Artificial Intelligence, 5G Networks, Federated Networks, Cyber DefenseAbstract
Rapid 5G network adoption and development have improved mobile communications capability, hence inspiring innovation and network security concerns. Federalized 5G networks are challenging and dangerous as they rely on infrastructure from many parties. Federated 5G networks need artificial intelligence for cyber security if we are to solve these issues. Attacks may be found via machine learning, which also forecasts vulnerabilities and automates real-time fixes. Federated 5G network cyber security uses artificial intelligence for threat detection, network operations, and real-time decision-making. The benefits, drawbacks, and future directions of research in the federated 5G ecosystem of AI-powered cybersecurity are covered in this paper.
Downloads
References
Madupati, Bhanuprakash. "Comprehensive Approaches to API Security and Management in Large-Scale Microservices Environments." Available at SSRN 5076630 (2023).
Yadulla, A. R., et al. "A time-aware LSTM model for detecting criminal activities in blockchain transactions." International Journal of Communication and Information Technology 4.2 (2023): 33-39.
Kalluri, Kartheek. "Exploring Zero-Shot and Few-Shot Learning Capabilities in LLMS for Complex Query Handling." 2022,
Vududala, Santosh Kumar. "QA role and challenges in Robotics Automation Testing."
Shankeshi, Raghu Murthy. "Optimizing IoT Data Pipelines Using Oracle Autonomous Databases and AI Analytics." American Journal of Autonomous Systems and Robotics Engineering 3 (2023): 35-56.
Madupati, Bhanuprakash. "Serverless Architectures and Function-As-A-Service (Faas): Scalability, Cost Efficiency, And Security Challenges." Cost Efficiency, And Security Challenges (April 05, 2023) (2023).
Yadulla, Akhila Reddy, et al. "Enhancing Cybersecurity with AI: Implementing a Deep Learning-Based Intrusion Detection System Using Convolutional Neural Networks." European Journal of Advances in Engineering and Technology 10.12 (2023): 89-98.
Vududala, Santosh Kumar. "International Journal of Multidisciplinary Research and Growth Evaluation."
Shankeshi, Raghu Murthy. "The Role of AI in Enhancing Data Security and Compliance in Oracle Cloud Infrastructures." American Journal of Data Science and Artificial Intelligence Innovations 3 (2023): 53-67.
Madupati, Bhanuprakash. "Kubernetes for Multi-Cloud and Hybrid Cloud: Orchestration, Scaling, and Security Challenges." Scaling, and Security Challenges (June 30, 2023) (2023).
Shankeshi, Raghu M. "IoT data management in Oracle databases: Challenges and solutions." International Journal For Multidisciplinary Research 4 (2022): 1-18.
Pillai, Vinayak. Anomaly Detection for Innovators: Transforming Data into Breakthroughs. Libertatem Media Private Limited, 2022.
Kalluri, Kartheek. "Enhancing Credit Union Operations: Utilizing Pega's Workflow Automation for Member Management." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 7 (2023): 1-7.
Shankeshi, Raghu M. "Automating cloud database management with Python and AI-powered monitoring tools." International Journal For Multidisciplinary Research 4 (2022): 1-20.
Madupati, Bhanuprakash. "Observability in Microservices Architectures: Leveraging Logging, Metrics, and Distributed Tracing in Large-Scale Systems." Metrics, and Distributed Tracing in Large-Scale Systems (November 30, 2023) (2023).
Yenugula, Mounica, et al. "Enhancing Mobile Data Security with Zero-Trust Architecture and Federated Learning: A Comprehensive Approach to Prevent Data Leakage on Smart Terminals." JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING (JRTCSE) 11.1 (2023): 52-64.
Shankeshi, R. M. "Real-time IoT data processing with Oracle GoldenGate and cloud storage integration." International Journal For Multidisciplinary Research 6 (2021): 1-9.
Kalluri, Kartheek. "Adapting LLMs for Low Resource Languages-Techniques and Ethical Considerations." (2023).
Madupati, Bhanuprakash. "Kubernetes for Multi-Cloud and Hybrid Cloud: Orchestration, Scaling, and Security Challenges." Scaling, and Security Challenges (June 30, 2023) (2023).
Shankeshi, R. M. "Leveraging DevOps practices to optimize multi-tenant Oracle 12C environments." International Journal For Multidisciplinary Research 6 (2021): 2456-4184.
Kalluri, Kartheek. "Assessing the Impact of Pega's Robotic Process Automation on Supply Chain Management Efficiency." Methodology 7.06 (2023).
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.