Software Service Security Analytics via Audit Log Processing
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Solution Overview
Problem
Network operators in 5G networks face challenges in assessing the security and operational behavior of software services deployed on private and cloud-based platforms, as they rely on third-party providers for detection and mitigation of security issues and abnormal behavior, leading to potential delays and network vulnerabilities.
Innovation Solution
A data analytics producer system that receives software service metadata and audit logs to generate analytics for security and operational behavior assessments, enabling network operators to detect and predict security issues and abnormal behavior in real-time, allowing for proactive mitigation measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network operators rely on third-party service providers for security and operational behavior assessment of software services, then the service providers can manage the assessment, but the network operator cannot independently evaluate security and operational behavior, leading to delayed detection and mitigation of security issues
Solution Approach 1:
The network operator deploys a local assessment entity that independently performs security and operational behavior assessment of software services using locally collected audit logs and metadata, enabling self-service assessment without waiting for third-party providers
Solution Approach 2:
The system continuously collects and analyzes audit logs and metadata in advance, enabling early detection of security issues and abnormal behaviors before they impact the network, allowing proactive mitigation measures
2Productivity
If network operators deploy assessment entities locally to independently assess software services, then real-time detection capability is improved, but the system complexity increases due to additional local infrastructure requirements
Solution Approach 1:
The assessment entity acts as an intermediary component that receives audit logs from software services and metadata from service providers, processing this data locally to generate assessment results without requiring complex end-to-end integration with third-party providers
Solution Approach 2:
The assessment system is segmented into independent functional components: audit log collection, metadata reception, data analysis, and result generation, allowing modular deployment and management that reduces overall system complexity
Data Source
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AI summary
A data analytics producer (102) configured to : - receive a request for data analytics related to one or more target software services; - receive input data comprising software service metadata associated with the target software services and one or more audit log files associated with the target software services, and - generate data analytics from the input data.