Towards Natural-Language Understanding and Automated Enforcement of Privacy Rules and Regulations in the Cloud: Survey and Bibliography

by Nick Papanikolaou, Siani Pearson, Marco Casassa Mont
Abstract:
In this paper we survey existing work on automatically processing legal, regulatory and other policy texts for the extraction and representation of privacy knowledge and rules. Our objective is to link and apply some of these techniques to policy enforcement and compliance, to provide a core means of achieving and maintaining customer privacy in an enterprise context, particularly where data is stored and processed in cloud data centres. We sketch our thoughts on how this might be done given the many different, but so far strictly distinct from one another, approaches to natural-language analysis of legal and other prescriptive texts, approaches to knowledge extraction, semantic representation, and automated enforcement of privacy rules.
Reference:
Towards Natural-Language Understanding and Automated Enforcement of Privacy Rules and Regulations in the Cloud: Survey and Bibliography (Nick Papanikolaou, Siani Pearson, Marco Casassa Mont), In Proceedings of 1st International Workshop on Security and Trust in Virtualised Environments (STAVE 2011), 2011.
Bibtex Entry:
@INPROCEEDINGS{Papanikolaou2011d,
  author = {Nick Papanikolaou and Siani Pearson and Marco {Casassa Mont}},
  title = {Towards Natural-Language Understanding and Automated Enforcement
	of Privacy Rules and Regulations in the Cloud: Survey and Bibliography},
  booktitle = {Proceedings of 1st International Workshop on Security and Trust in
	Virtualised Environments (STAVE 2011)},
  year = {2011},
  abstract = {In this paper we survey existing work on automatically processing
	legal, regulatory and other policy texts for the extraction and representation
	of privacy knowledge and rules. Our objective is to link and apply
	some of these techniques to policy enforcement and compliance, to
	provide a core means of achieving and maintaining customer privacy
	in an enterprise context, particularly where data is stored and processed
	in cloud data centres. We sketch our thoughts on how this might be
	done given the many different, but so far strictly distinct from
	one another, approaches to natural-language analysis of legal and
	other prescriptive texts, approaches to knowledge extraction, semantic
	representation, and automated enforcement of privacy rules.},
  owner = {Nick},
  timestamp = {2012.02.23},
  url = {../files/STAVEPaperFinal.pdf}
}