Presentation Material
Abstract
In the rapidly evolving landscape of cloud computing, security remains a paramount concern, necessitating innovative approaches to defend against sophisticated threats. This presentation delves into the transformative potential of Extended Berkeley Packet Filter (eBPF) in reshaping cloud security dynamics. eBPF, emerging as a powerful tool beyond traditional kernel capabilities, offers unprecedented visibility and control within cloud-native environments.
Our exploration begins with an overview of eBPF’s architecture, highlighting its ability to safely extend kernel functionalities without modifying the kernel code. This is followed by an in-depth analysis of eBPF’s role in real-time threat detection, including anomaly detection in network traffic, monitoring of unauthorized system calls, and surveillance of process behaviors in a cloud-native ecosystem.
A significant focus is placed on the application of eBPF in data plane security, demonstrating how it enables fine-grained security controls and monitors inter-container communications within Kubernetes clusters. The presentation further examines the deployment of eBPF-based firewalls and Intrusion Detection Systems (IDS), showcasing their efficiency and performance benefits over traditional methods.
Through case studies and simulations, we present empirical evidence of eBPF’s effectiveness in identifying and mitigating advanced cyber threats in cloud environments. Additionally, we address the challenges and limitations inherent in implementing eBPF-based security solutions, such as resource constraints and the complexity of deployment.
Concluding with a perspective on future trends, the presentation speculates on advancements in eBPF, including its integration with AI and machine learning for predictive threat detection and automated response mechanisms.
CONFidence 2024, 27 May 2024, 11:30–12:15, Kraków.