Revolutionizing Cloud-Native Security and Networking with the Power of AI/ML and eBPF

In the ever-evolving landscape of mobile networks, the integration of advanced technologies like 5G and the anticipation of 6G demand innovative solutions for observability, networking, and security. The Next Generation Advanced Research (NGAR) Division at Rakuten Mobile and Engineering (SOE) Division at Rakuten Mobile have made significant strides in the field of network anomaly detection by leveraging advanced statistical and AI/ML techniques powered by eBPF.

The Future of Cloud-Native Observability and Security

The NGAR team’s work emphasizes the importance of cloud-native technologies in enhancing the performance, security, and scalability of mobile networks. Our recent research highlights the use of eBPF (Extended Berkeley Packet Filter) as a groundbreaking approach to achieve real-time observability, efficient networking, and robust security in 5G and future 6G networks. This innovative framework enables:

• ‍Real-Time Monitoring: eBPF allows for dynamic data collection and analysis, ensuring seamless network performance.

• ‍Enhanced Security: By detecting anomalies and unauthorized access in real-time, eBPF strengthens the security posture of mobile networks.

• ‍Scalability: The framework supports the growing demands of data-intensive applications in 5G and beyond.

Anomaly Detection: A Multi-Faceted Approach

One of the key highlights of the NGAR Team's research is the development of a comprehensive anomaly detection system. This system leverages advanced AI/ML algorithms, such as Density-Based Spatial Clustering of Applications with Noise (DBSCAN), to identify irregularities in network behavior. Key features include:

• ‍Data-Driven Insights: Security logs serve as the foundation for detecting complex patterns.

• ‍Domain Knowledge Integration: Rakuten-specific insights enhance the relevance and accuracy of detections.

• ‍Adaptive Processing: AI/ML technologies continuously evolve to counter emerging threats. 

This approach not only ensures immediate threat detection but also reduces false positives, optimizing operational efficiency.

Experimental Validation and Results

The NGAR team at Rakuten Mobile conducted extensive experimental validations to demonstrate the effectiveness of their solutions. Key outcomes include:

• ‍Improved True Positive Rates(TPR): Enhanced accuracy in detecting genuine threats.

• ‍Reduced False Positives(FPR): Minimizing unnecessary alerts to streamline operations.

• ‍Scalable Solutions: The system adapts to varying network demands, ensuring consistent performance.

Pioneering the Path to 6G

As the industry transitions from 5G to 6G, Dr. Soldani and his team lays a strong foundation for future innovations. By integrating cloud-native observability, AI-driven anomaly detection, and scalable security frameworks, Rakuten Mobile is poised to lead the next wave of technological advancements in mobile networks.

About the Next Generation Advanced Research (NGAR) Division at Rakuten Mobile

We develop advanced AI/ML and eBPF-powered technologies to enhance productivity, mitigate risks, and optimize performance in telecom networks and data centers. Our expertise spans generative AI for anomaly detection and network optimization, cloud-native transformations for 5G/Open RAN and future 6G systems, eBPF-driven observability and security, zero-trust architectures with AI-powered automation, and AI-native 6G solutions integrating Non-Terrestrial Networks. By combining machine learning and machine reasoning, we push the boundaries of cognitive AI to advance mobile communications.

For more insights, connect with Dr. Soldani on LinkedIn.

Explore More: Download the White Paper and Engage with Dr. Soldani

To dive deeper into the innovative research and insights shared by Dr. David Soldani, we invite you to:

• ‍Read Dr. Soldani's Article: Discover more about his vision and the future of mobile networks by reading his insightful article on How we adapted eBPF for cloud-native telecom networks, published by Zero-Touch Forum.

• ‍Watch the Video: Join Dr. Soldani as he discussed the concept of AI-Powered Telco Network Monitoring with eBPF and its implications for the future of mobile technology at Zero-Touch Forum.

• ‍Download the White Paper: Gain comprehensive knowledge about the advancements in cloud-native security and networking by accessing the detailed white paper on AI-Enabled Anomaly Detection for Modern Telco Cloud and Networks.