ScholarlyCommons: Repository

Title

QuanTM: A Quantitative Trust Management System

Author(s)

Andrew G. West, University of PennsylvaniaFollow
Adam J. Aviv, University of PennsylvaniaFollow
Jian Chang, University of PennsylvaniaFollow
Vinayak S. Prabhu, University of PennsylvaniaFollow
Matthew A. Blaze, University of PennsylvaniaFollow
Sampath Kannan, University of PennsylvaniaFollow
Insup Lee, University of PennsylvaniaFollow
Jonathan M. Smith, University of PennsylvaniaFollow
Oleg Sokolsky, University of PennsylvaniaFollow

Document Type

Conference Paper

Date of this Version

March 2009

Comments

European Workshop on System Security (EUROSEC 2009) 31 March 2009, Nuremberg, Germany

Abstract

Quantitative Trust Management (QTM) provides a dynamic interpretation of authorization policies for access control decisions based on upon evolving reputations of the entities involved. QuanTM, a QTM system, selectively combines elements from trust management and reputation management to create a novel method for policy evaluation. Trust management, while effective in managing access with delegated credentials (as in PolicyMaker and KeyNote), needs greater flexibility in handling situations of partial trust. Reputation management provides a means to quantify trust, but lacks delegation and policy enforcement.

This paper reports on QuanTM’s design decisions and novel policy evaluation procedure. A representation of quantified trust relationships, the trust dependency graph, and a sample QuanTM application specific to the KeyNote trust management language, are also proposed.

Keywords

Quantified Trust Management, Trust Management, Reputation Management, QuanTM, KeyNote, TNA-SL