Achieving Compliance Through Natural-Language Analysis of Service Level Agreements for Cloud Services
Abstract: We discuss how to apply automated natural-language processing to cloud SLAs in order to extract formal rules pertaining to security and privacy. SLAs tend to contain comparatively predictable, prescriptive language, making the extraction of certain types of rule possible automatically. Our approach enables the extraction and semantic representation of rules. This enables the policies of different cloud service providers to be compared with regards to particular attributes, and also paves the way for automated compliance checking and enforcement of privacy and security rules in cloud infrastructures.
External Posting Date: September 21, 2011 [Abstract]. Approved for External Publication
Internal Posting Date: September 21, 2011 [Fulltext]