DocumentCode
3035200
Title
Collaborative Planning With Privacy
Author
Kanovich, Max ; Rowe, Paul ; Scedrov, Andre
Author_Institution
Univ. of London, London
fYear
2007
fDate
6-8 July 2007
Firstpage
265
Lastpage
278
Abstract
Collaboration among organizations or individuals is common. While these participants are often unwilling to share all their information with each other, some information sharing is unavoidable when achieving a common goal. The need to share information and the desire to keep it private/ secret are two competing notions which affect the outcome of a collaboration. This paper proposes a formal model of collaboration which addresses privacy/secrecy concerns. We draw on the notion of a plan which originates in the AI literature. We consider transition systems in which actions have pre- and post-conditions of the same size. We show it is PSPACE-complete to decide whether a given such system protects the privacy/secrecy of its participants and whether it contains a plan leading from a given initial state to a desired goal state.
Keywords
computational complexity; data privacy; formal specification; groupware; security of data; PSPACE-complete; collaborative planning; formal model; information sharing; privacy/secrecy; Aggregates; Artificial intelligence; Collaboration; Collaborative software; Collaborative work; Hospitals; Insurance; Multilevel systems; Privacy; Protection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Security Foundations Symposium, 2007. CSF '07. 20th IEEE
Conference_Location
Venice
ISSN
1940-1434
Print_ISBN
0-7695-2819-8
Type
conf
DOI
10.1109/CSF.2007.12
Filename
4271654
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