Session Management System for Enterprise Security
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Solution Overview
Problem
Managing and securing sessions in large enterprises over unsecured networks is challenging due to the difficulty in tracking, securing, and performing management operations on sessions that often contain a mix of natural language and formal languages, making it hard for administrators and natural language processing techniques to determine context.
Innovation Solution
The system intelligently parses and cleanses session logs to extract relevant information, builds user models using session vector representations, and applies these models for security and management actions, leveraging a fixed dictionary to handle both natural and formal languages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional session management methods are used over unsecured networks, then basic connectivity is maintained, but security and tracking of sessions becomes difficult
Solution Approach 1:
The patent introduces a session management system that acts as an intermediary between users and network services. This system captures session data, generates user models, and performs security operations, thereby simplifying the complexity of direct session management while improving security and reliability through centralized control and monitoring.
2Loss of information
If session logs contain detailed mixed language data, then comprehensive session information is captured, but natural language processing becomes difficult
Solution Approach 1:
The patent transforms session log data from its original mixed-language format into structured user models with defined parameters and characteristics. By changing the representation parameters from raw text to structured data models, the system maintains complete session information while making it computationally accessible for automated analysis and security operations.
Solution Approach 2:
The patent replaces manual or traditional natural language processing methods with automated machine learning-based user model generation. This substitution enables the system to automatically extract meaningful patterns from mixed-language session logs without requiring complex manual analysis, thereby reducing the difficulty of context determination.
3Measurement precision
If user models are generated from session data, then accurate user behavior modeling is achieved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by continuously capturing and preprocessing session data in the background, building user models incrementally as data becomes available. This allows the system to have user models ready when needed for security operations, reducing the perceived processing time while maintaining high modeling accuracy through continuous data accumulation.
Data Source
AI summary
A computing device accesses a session log that includes a recording of user interactions of a user during a session with an application instance in a computing environment. The computing device cleanses the session log to remove a portion of the content included in the session log to generate a cleansed session log and converts the cleansed session log into a session vector representation using a finite dictionary built from a plurality of session logs associated with a plurality of users that have interacted with the computing environment. The computing device generates a user model for the user using the session vector representation and a plurality of other session vector representations associated with the user. The model may be used to perform management and security operations in the computing environment.