Pre-encoding Cached Certificate Revocation Lists
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Solution Overview
Problem
Conventional identity management systems face inefficiencies in publishing certificate revocation lists (CRLs), as they often engage directory servers for extended periods, especially when CRLs are large, due to the need for frequent encoding and transmission of un-encoded information.
Innovation Solution
Implementing a CRL pre-encoder that periodically searches and encodes un-encoded information in cached CRLs, using standards like Distinguished Encoding Rules (DER) of the Abstract Syntax Notation One (ASN.1) for efficient transmission over networks, reducing the time required to generate and publish CRLs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If CRLs are published frequently with un-encoded information, then certificate revocation status is kept current, but directory server engagement time increases significantly
Solution Approach 1:
The CRL pre-encoder performs encoding operations in advance, during idle periods or low-traffic times, so that when CRL publication is needed, the encoded data is already prepared and ready for immediate transmission, eliminating the need for time-consuming encoding during publication events
2Loss of information
If CRL encoding is performed at publication time, then data freshness is maintained, but system productivity decreases due to processing delays
Solution Approach 1:
Encoding is performed preliminarily and periodically on cached CRL data during low-utilization periods, creating pre-encoded versions that can be rapidly published without real-time encoding delays, thus maintaining both data freshness and system productivity
Solution Approach 2:
The system implements periodic encoding of CRL data at scheduled intervals during idle periods, rather than performing encoding on-demand at publication time, which smooths out processing loads and maintains consistent system performance
3Reliability
If large CRLs are transmitted frequently, then complete revocation information is provided, but network bandwidth consumption increases
Solution Approach 1:
The CRL data is pre-encoded and cached in advance, allowing the system to serve pre-prepared encoded versions during publication events, reducing the computational and network overhead associated with real-time encoding and transmission of large CRL datasets
Data Source
AI summary
A method and system for pre-encoding a cached CRL is described.


