Cross-Perimeter Data Audit Trail Generation
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Solution Overview
Problem
Existing systems lack an effective mechanism for generating a data audit trail during cross-perimeter data transfers, particularly from an encrypted perimeter to an unencrypted perimeter, which is essential for auditing malicious activity and ensuring the security of sensitive information.
Innovation Solution
A computing device with multiple perimeters generates a data audit trail that includes an identifier, timestamp, and user ID, encrypts and decrypts data as needed, and stores the audit trail until a predetermined condition is met before sending it to a server for analysis, ensuring secure cross-perimeter data transfers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is transferred from an encrypted perimeter to an unencrypted perimeter, then data accessibility and usability are improved, but security control and audit capability deteriorate
Solution Approach 1:
The system performs preliminary actions by generating an audit trail record before the actual data transfer occurs. The record is created with all necessary metadata (identifiers, timestamps, user IDs) in advance, ensuring security auditing is prepared before the security boundary is crossed and data becomes accessible in the unencrypted perimeter.
Solution Approach 2:
The audit trail record serves as an intermediary mechanism between the encrypted and unencrypted perimeters. It captures and preserves security-relevant information about the data transfer, acting as a mediator that maintains security control and audit capability even as data moves across the security boundary.
2Measurement precision
If comprehensive audit trail information is collected for all data transfers, then security monitoring capability is improved, but system complexity and storage requirements worsen
Solution Approach 1:
The audit trail record is segmented into distinct, standardized fields (first identifier, second identifier, timestamp, user ID). This segmentation organizes complex audit information into manageable, structured components that are easier to process, store, and analyze individually while maintaining comprehensive monitoring capability.
Solution Approach 2:
The system changes parameters by standardizing the audit trail data into specific fields with defined purposes. By transforming raw transfer information into structured parameters (identifiers, timestamps, user IDs), the system reduces complexity while maintaining measurement precision for security monitoring.
3Reliability
If audit trail data is stored locally until predetermined conditions are met, then data integrity and security are improved, but storage space and potential security risks worsen
Solution Approach 1:
The system implements periodic action by storing audit trail records locally until predetermined conditions are met, then transmitting them to the server. This periodic transmission cycle maintains data integrity during storage while periodically reducing local storage requirements and distributing security risk.
Solution Approach 2:
The system performs preliminary local storage of audit records before transmission to the server. This preliminary action ensures data integrity is maintained during the initial storage phase, and only after conditions are met does the system proceed with transmission, balancing storage requirements with security considerations.
Data Source
AI summary
A computing device is disclosed having two or more perimeters, where each perimeter is a logical separation of computing resources. A computing device and method are also disclosed for generating a data audit trail for data transfers between two perimeters.