Web Service Trust Level Selection via Audit Filtering

The patent applies local quality by providing different levels of audit and compliance information tailored to the specific needs of each service consumer. Instead of uniformly providing all audit attributes to all consumers, the system filters and presents only the relevant audit attributes based on the consumer's trust level and compliance requirements. This resolves the contradiction by maintaining comprehensive security information availability while reducing the complexity burden on consumers who do not require all attributes.

The patent implements dynamics by making the audit and compliance information presentation adaptive and configurable. The system dynamically adjusts the level of detail and type of audit information provided based on real-time factors such as the consumer's trust level, compliance requirements, and service context. This dynamic filtering mechanism maintains information completeness for those who need it while simplifying the selection process for those with lesser requirements.

The patent applies self-service by enabling service consumers to autonomously define their own trust levels and compliance requirements without requiring complex manual configuration. The system provides standardized trust level definitions and compliance frameworks that consumers can directly configure, eliminating the need for complex security policy authoring while maintaining high security reliability. This resolves the contradiction by simplifying the service discovery process for security-filtered results.

The patent implements parameter changes by transforming complex security and compliance requirements into configurable parameter sets. Instead of requiring consumers to manually define complex security policies, the system provides predefined trust level parameters and compliance attributes that can be easily adjusted. This parameterization approach maintains security reliability while significantly reducing the complexity of service discovery and selection.

The patent applies the extraction principle by selectively extracting and collecting only the specific audit attributes necessary for compliance assessment, rather than collecting all possible data. The system identifies and extracts minimal necessary information from service operations to satisfy compliance requirements, thereby maintaining compliance accuracy while reducing the scope of data collection and associated privacy risks. This is achieved through targeted audit attribute selection based on the specific compliance framework being applied.

The patent implements partial action by collecting and storing only the essential audit data required for compliance verification, rather than comprehensive data collection. The system performs partial auditing focused on critical compliance attributes, which is sufficient for maintaining compliance accuracy while minimizing data privacy exposures. This partial approach allows compliance assessment without the excessive data collection that would increase privacy risks.