Accountable Trust Decisions: A Semantic Approach
Abstract
This paper is concerned with the question of how to obtain the highest possible assurance
on trust policy decisions: when accepting an electronic transaction of substantial value or significant
implications, we want to be sure that this did not happen because of a bug in a policy checker. Potential
bugs include bugs in parsing documents, in signature checking, in checking trust lists, and in the
logical evaluation of the policy. This paper focuses on the latter kind of problems and our idea
is to validate the logical steps of the trust decision by another, complementary method. We have
implemented this for the Trust Policy Language of the LIGHTest project and we use the completely
independently developed FOL theorem prover RP_X as a complementary method.
- Citation
- BibTeX
Schlichtkrull, A. & Mödersheim, S.,
(2020).
Accountable Trust Decisions: A Semantic Approach.
In:
Roßnagel, H., Schunck, C. H., Mödersheim, S. & Hühnlein, D.
(Hrsg.),
Open Identity Summit 2020.
Bonn:
Gesellschaft für Informatik e.V..
(S. 71-82).
DOI: 10.18420/ois2020_06
@inproceedings{mci/Schlichtkrull2020,
author = {Schlichtkrull, Anders AND Mödersheim, Sebastian},
title = {Accountable Trust Decisions: A Semantic Approach},
booktitle = {Open Identity Summit 2020},
year = {2020},
editor = {Roßnagel, Heiko AND Schunck, Christian H. AND Mödersheim, Sebastian AND Hühnlein, Detlef} ,
pages = { 71-82 } ,
doi = { 10.18420/ois2020_06 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Schlichtkrull, Anders AND Mödersheim, Sebastian},
title = {Accountable Trust Decisions: A Semantic Approach},
booktitle = {Open Identity Summit 2020},
year = {2020},
editor = {Roßnagel, Heiko AND Schunck, Christian H. AND Mödersheim, Sebastian AND Hühnlein, Detlef} ,
pages = { 71-82 } ,
doi = { 10.18420/ois2020_06 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info
DOI: 10.18420/ois2020_06
ISBN: 978-3-88579-699-2
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2020
Language:
(en)

Content Type: Text/Conference Paper