Achieving Compliance Through Natural-Language Analysis of Service Level Agreements for Cloud Services

by Nick Papanikolaou
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.
Reference:
Achieving Compliance Through Natural-Language Analysis of Service Level Agreements for Cloud Services (Nick Papanikolaou), Technical report, HP Laboratories, 2011.
Bibtex Entry:
@TECHREPORT{Papanikolaou2011,
  author = {Nick Papanikolaou},
  title = {Achieving Compliance Through Natural-Language Analysis of Service
	Level Agreements for Cloud Services},
  institution = {HP Laboratories},
  year = {2011},
  type = {HP Labs Technical Report},
  number = {HPL-2011-167},
  __markedentry = {[Nick]},
  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.},
  owner = {nikos},
  timestamp = {2011.10.30}
}