Visualization of Automated Trust Negotiation Danfeng Yao Brown University Roberto Tamassia Brown University Michael Shin Goldman Sachs Inc. William H. Winsborough University of Texas, San Antonio Supported in part by NSF grants CCF–0311510, IIS–0324846, CNS–0303577 and CNS-0325951 Overview Introduction to two-party automated trust negotiation (ATN) – Trust target graph (TTG) Design of the visualization framework – Prototype implementation Example of a visualization session – Demo of our visualization program Monitoring the release of sensitive credentials Accessing protected resources requires releasing digital credentials Credentials may be sensitive – Need to control the release of digital credentials – Trust Negotiation is an incremental, bilateral exchange of credentials and policies between resource owner and requester Visualization of automated trust negotiation – Gives teaching and learning support for ATN users – Enables users to visually examine the ATN process – The combination of interactive visualization and ATN improves the security of protected resources – We demonstrate that Grappa and GraphViz (AT&T) are suitable graph drawing systems for visualizing ATN A simple trust negotiation example Alice Request for discount Request UID Request BBB Send BBB Policy Releasing UID requires BBB Cred. UID (student ID) Send UID Grant the discount Discount Policy requires UID BBB (better Cred. business bureau) A general trust negotiation Protocol Request for resource Alice Primary trust target Request credential Sensitive, request proof Sensitive, request more credential Policies Credentials Send proof Send credential Grant the resource Policies Credentials Trust target graph Trust target graph (TTG) is a directed graph representing the state of negotiation [Winsborough Li ’02] – The negotiation succeeds when the primary trust target is satisfied – Fails when the primary target cannot be satisfied, or when neither negotiator changes the graph – TTG can have cycles and be non-planar Construction of TTG – Each negotiator keeps a local copy of TTG – Nodes are trust targets: < Amazon: Amazon.discount ? Alice > The state of a node: unknown, satisified, or unsatisfied – Edges represent implication and control relationships Satisfied states propagate along the edges – Negotiators take turns extending the TTG by adding new edges and nodes to the current graph At the beginning TTG contains only the primary trust target The new TTG is a supergraph of the previous one Associated credentials or policies are transmitted TTG construction of the example Amazon: Amazon.discount ? Amazon: Univ.Student ? Alice: BBB.member Alice: Amazon ? ?? Amazon Amazon Alice Alice Components of our ATN visualization framework User Inputs (6) Visualization (View) (5) Protocol State & Update (4) Log Parser (3) Logs text (2) Modifier (8) Credentials, Policies, text Strategies (1) ATN Engine Prototype implementation The visualizer displays the construction of TTG for negotiators Uses Grappa system [Barghouti, Mocenigo, Lee. GD ‘97], a Java port of GraphViz system [Ellson, Gansner, Koutsofios, North, Woodhull et al] for graph drawing – Layout provided by dot in GraphViz – The upward drawing heuristics and hierarchical (layered) drawing features are suitable for drawing directed graphs such as TTGs – Layout algorithms try to avoid edge crossings and reduce edge length Colors and shapes of nodes and edges represent different types in TTG and can be customized Displays local credentials, remote credentials, and policies Intersection target Linked role target Standard target Trivial target Edge types Edge name Color Meaning Implication Purple A parent node implies the child node Linking monitor Blue Form a target with a linked role to a linking goal Linking solution Gold From a linked goal to a standard target Linking implication Green From a target with a linked role to a linked role target Control Sienna Used with ack and access policies Intersection Orange From an intersection target to standard targets Demo of a visualization session Requester: Alice – Works at purchase department in Medix Fund (MedixFund.purchasingA) – She considers this credential sensitive Resource owner: Medical Supply Company (MedSup) – A member of ReliefNet (ReliefNet.member) Requested resource: Discount from MedSup – MedSup.discount Delegation credentials transfer privileges between roles – Role provisioner at ReliefNet is delegated to MedixFund.purchasingA – cPartner at Medix Fund is delegated to ReliefNet.member – Discount is given to provisioner at ReliefNet ATN-Vis Demo Example -- Start Requester: Alice Provider: Medical Supply (MedSup) Example -- 3% progress Example -- 16% progress Example -- 19% progress Example -- 23% progress Example -- 29% progress Example -- 42% progress Example -- 45% progress Example -- 52% progress Example -- 61% progress Example -- 71% progress Example -- 77% progress Example -- 74% progress Example -- 84% progress Example -- 97% progress Example -- 100% progress Related Work Graph drawing systems – Grappa [Barghouti, Mocenigo, Lee. GD ‘97] – GraphViz [Ellson, Gansner, Koutsofios, North, Woodhull et al] Visualization of protocols – [Hall, Moore, Pratt, Leslie. SIGCOMM Workshop ‘03] – [Zhao, Mayo. ICEE ’02] – [Koch, Parisi-Presicce. FASE ‘03] Trust negotiation – – – – [Winsborough, Seamons, Jones. DISCEX’00] [Yu, Ma, Winslett. CCS’00] [Winsborough, Li. POLICY ’02] [Li, Du, Boneh ‘03] Combination of visualization and automated protocols – Anomaly detection [Teoh, Zhang, Tseng, Ma, Wu. VizSEC/DMSEC ‘04] – Mining geo-spatial datasets [Keim, Panse, Sips, North. CG ‘04] Conclusions and future work We have described the architecture and data model of an interactive visualization framework for ATN We have presented a prototype of our ATN visualization framework Grappa and GraphViz are suitable tools for drawing trust target graphs in ATN For future work, we plan to bring more interactive components into the implementation – Provide more interactive explanations of texts inside TTG nodes – Visualization and modification of negotiation strategies
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