Privilege-Event Correlation via Vector Analysis
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Solution Overview
Problem
Current log management systems fail to correlate user events with specific privileges, making it difficult for administrators to determine which privileges are associated with each event, especially in heterogeneous environments where different clients use unique names for privileges and log actions differently.
Innovation Solution
The system analyzes event information and privilege information by defining event vectors and privilege vectors, comparing similarities, and mapping events to privileges through iterative analysis, allowing for the identification of common privileges across users with similar events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis is used to identify privileges associated with user events, then administrators can examine event details, but the process becomes tedious and time-consuming especially in heterogeneous environments
Solution Approach 1:
The system performs self-service by automatically correlating events with privileges using iterative analysis. The computer automatically defines event vectors and privilege vectors, compares them through multiple iterations, and generates privilege-event mappings without requiring manual administrator intervention, thus resolving the contradiction between accuracy and time consumption
Solution Approach 2:
The system transforms the analysis approach by changing parameters from manual examination to automated vector-based comparison. Event vectors and privilege vectors are defined with multiple dimensions representing different event and privilege attributes, enabling automated similarity comparison and correlation identification that is both precise and efficient
2Loss of information
If detailed event analysis is performed to identify associated privileges, then comprehensive privilege usage information is obtained, but the complexity of analyzing heterogeneous log formats from different clients increases
Solution Approach 1:
The system applies universality by creating a standardized vector framework that can handle heterogeneous log formats from different clients. Event vectors and privilege vectors serve as universal structures that accommodate various log formats, event types, and privilege representations, enabling comprehensive analysis across diverse environments without increasing system complexity
Solution Approach 2:
Event vectors and privilege vectors act as intermediaries between heterogeneous log sources and the analysis process. These vectors translate diverse log formats into a common representation that can be systematically compared and correlated, preserving information completeness while simplifying the analysis of heterogeneous data
3Measurement precision
If iterative analysis is performed to converge similar event vectors and privilege vectors, then accurate privilege mappings are achieved, but computational resources are consumed
Solution Approach 1:
The system uses periodic action through iterative analysis where event vectors and privilege vectors are repeatedly compared and refined over multiple iterations. Each iteration brings the vectors closer to their optimal correlation, with the process continuing until convergence is achieved, ensuring high mapping accuracy while systematically managing computational resources
Solution Approach 2:
The iterative analysis incorporates feedback mechanisms where the results of each comparison iteration inform subsequent iterations. The system learns from previous comparisons and adjusts its analysis focus, refining privilege-event mappings progressively until convergence, which optimizes the balance between accuracy and computational energy consumption
Data Source
AI summary
Methods and computer program products for analyzing privilege usage are disclosed. Event information is identified for each user, including a list of events and a count of each listed event. Privilege information of each user is identified, including a list of privileges of the user. The event information and privilege information of users with similar events are compared. Events are mapped to privileges based on the comparison to generate an event-privilege mapping. Users with similar counts for similar events may be used for comparison. A computer system is disclosed that includes an event identifier, a privilege identifier and an event-privilege mapper.