Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1519144.1519149 | EUROSEC |
Keywords | Field | DocType |
reputation management,trust dependency graph,keynote trust management language,trust relationship,policy enforcement,partial trust,quantitative trust management system,policy evaluation,authorization policy,trust management,novel policy evaluation procedure,access control | Application specific,Computer science,Computer security,Authorization,Knowledge management,Access control,Policy enforcement,Delegation,Management system,Dependency graph,Reputation management | Conference |
Citations | PageRank | References |
10 | 0.59 | 18 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrew G. West | 1 | 192 | 12.49 |
| Adam J. Aviv | 2 | 443 | 35.85 |
| Jian Chang | 3 | 67 | 5.81 |
| Vinayak S. Prabhu | 4 | 145 | 13.89 |
| matt blaze | 5 | 3189 | 381.70 |
| Sampath Kannan | 6 | 2506 | 275.83 |
| Insup Lee | 7 | 4996 | 413.64 |
| Jonathan M. Smith | 8 | 1689 | 238.40 |
| Oleg Sokolsky | 9 | 2193 | 154.94 |