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Enforcing Honesty in Assured Information Sharing Within a Distributed System.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Pandu Rangan, C.
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Barker, Steve
Ahn, Gail-Joon
Layfield, Ryan
Kantarcioglu, Murat
Thuraisingham, Bhavani
Source :
Data & Applications Security XXI; 2007, p113-128, 16p
Publication Year :
2007

Abstract

The growing number of distributed information systems such as the internet has created a need for security in data sharing. When several autonomous parties attempt to share data, there is not necessarily any guarantee that the participants will share data truthfully. In fact, there is often a large incentive to engage in behavior that can sabotage the effectiveness of such a system. We analyze these situations in light of game theory, a mathematical model which permits us to consider behavior and choices for any autonomous party. This paper uses this theory to create a behavior enforcement method that does not need a central management system. We use a simple punishment method that is inherently available in most scenarios. Our approach is applicable to a variety of assured information sharing applications where the members of a coalition have to work together to solve a problem. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540735335
Database :
Complementary Index
Journal :
Data & Applications Security XXI
Publication Type :
Book
Accession number :
33148671
Full Text :
https://doi.org/10.1007/978-3-540-73538-0_10