Network Component Ownership Identification via Traffic Analysis
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Solution Overview
Problem
Large enterprises face challenges in maintaining accurate ownership records for network components and efficiently identifying and communicating with primary users or owners, especially when vulnerabilities arise, due to frequent changes in ownership and the complexity of tracking user interactions across multiple systems of record.
Innovation Solution
A system that monitors network components to identify primary users by analyzing access patterns, correlation values based on administrator actions, frequency, and duration of access, and automatically triggers notifications and remediation procedures when vulnerabilities are detected, using a combination of primary and secondary systems of record and network traffic analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tracking methods are used to maintain ownership records, then implementation simplicity is maintained, but accuracy and timeliness of ownership information deteriorates due to frequent changes and complexity
Solution Approach 1:
The system automatically discovers primary users by monitoring network traffic and analyzing access patterns without requiring manual input. The discovery mechanism self-updates ownership records by correlating network component identifiers with user identifiers from traffic data, eliminating the need for manual tracking while maintaining high accuracy
Solution Approach 2:
The system introduces an intermediary discovery mechanism that bridges network components and users through network traffic analysis. This intermediary process automatically extracts ownership relationships from traffic data and updates records, reducing both manual complexity and improving accuracy simultaneously
2Loss of time
If automated vulnerability notification systems are implemented, then response time to vulnerabilities is improved, but system complexity increases due to monitoring and analysis requirements
Solution Approach 1:
The system pre-establishes ownership records and communication channels before vulnerabilities occur. By continuously discovering and storing primary user information in advance, the system enables immediate notification when vulnerabilities are detected, reducing response time without proportionally increasing complexity
Solution Approach 2:
The monitoring system serves multiple functions: it discovers primary users, tracks ownership relationships, analyzes network traffic patterns, and triggers vulnerability notifications. This multi-functionality consolidates what would otherwise be separate complex systems into a single unified platform
3Reliability
If multiple systems of record are monitored to ensure accurate ownership identification, then reliability of ownership data is improved, but processing complexity and resource consumption increases
Solution Approach 1:
The system continuously monitors network traffic and compares observed access patterns against recorded ownership information. This feedback loop validates and updates ownership records in real-time, ensuring high reliability by cross-referencing multiple data sources while managing complexity through automated correlation algorithms
Data Source
AI summary
Embodiments of the present invention provide a system for network device owner identification and communication triggering. In particular, the system may monitor a plurality of systems of record associated with network of devices and/or individual network components. A primary user for each of these network components is identified, either through a known association in the systems of record or from analysis of records of network traffic associated with each network component. The primary user is recorded for each network component. In the event a vulnerability of a network component is identified, information about the network vulnerability is identified, aggregated with other information about the network component and potential remediation procedures, and compiled as a vulnerability notification. In response to the vulnerability, the system is automatically triggered to transmit the vulnerability notification to the primary user.


