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iTrust Survey
Graham Klyne
Nine by Nine
http://www.ninebynine.net/
8 October 2004
Goals of this talk
• Reviewing iTrust activity
– exemplified by conference papers
• Looking for multidisciplinary results
– what are the contributions from
non-computing disciplines?
• Is there any overall “shape” of new
understanding coming from iTrust work?
• System implementation perspective
– what guidance is offered?
8 October 2004
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iTrust
• “The aim of iTrust is to provide a forum for
cross-disciplinary investigation of the
application of trust as a means of establishing
security and confidence in the global
computing infrastructure, recognizing trust as
a crucial enabler for meaningful and mutually
beneficial interactions.”
– http://www.itrust.uoc.gr/
– (my emphasis)
8 October 2004
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Method
• Read through all main papers in LNCS
proceedings of first two public iTrust
conferences
– 48 papers
– Not including short papers
• Summarize content of each paper
– attempt to reflect content, not evaluate
• Pick out key themes in each paper
– subjective, subject to differing views
8 October 2004
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Method (continued)
• Data collected using a variant of RDF (N3)
– http://www.ninebynine.org/iTrust/iTrust-survey.n3
About Notation3:
– http://www.w3.org/DesignIssues/Notation3.html
– http://www.w3.org/2000/10/swap/Primer.html
• Auto-generated summary document
– http://www.ninebynine.org/iTrust/iTrust-survey.html
• Processed using simple rules
(using CWM)
– http://www.w3.org/2000/10/swap/doc/cwm.html
• Reviewed summaries looking for themes
8 October 2004
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Raw data:
Multidisciplinary themes
•
•
•
•
•
•
•
•
Computing - 39 papers
Economics - 8 papers
Legal - 4 papers
Philosophy - 1 paper
Logic - 1 paper
Psychology - 4 papers
Sociology - 8 papers
Statistics - 6 papers
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Raw data:
Other recurring topics
• Privacy - 4 papers
• Reputation - 12 papers
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Raw data:
Computing + topic
•
•
•
•
•
•
•
•
Computing
Computing
Computing
Computing
Computing
Computing
Computing
Computing
8 October 2004
+
+
+
+
+
+
+
+
Economics - 6 papers
Legal - 2 papers
Philosophy - 1 paper
Psychology - 3 papers
Sociology - 5 papers
Statistics - 4 papers
Privacy - 4 papers
Reputation - 11 papers
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Raw data:
Paper topics not spotted
• Political science
– Informing public policy formation?
• Business/management
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Defining trust
• 23 different definitions found
– Two economics papers used the same definition!
• Common themes:
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–
–
–
–
–
Subjective
Expectation or belief about another’s behaviour
Related to specific context
Risk of trusting behaviour
Basis for decision with incomplete information
Based on past evidence
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Observations
• Very few papers without a strong
computing element
• Many papers about computing with input
from some other discipline(s)
• Reputation/recommendation systems lead
use of trust in implemented systems
• A strong strand of economic theory
informing reputation systems
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More observations
• Conference papers are not the whole story
• Work in logic of trust is not yet connecting
with systems using trust
• Having existing computational models
makes us better able to employ sociocognitive work?
• Traditional computer security view of trust
as an atomic proposition, rather than
something to be analyzed
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Observations about trust
• Computing with trust necessarily (?)
ignores many subtleties
• The 1994 PhD thesis of S. Marsh seems to
be seminal in computation of trust
• “First transaction” trust is challenging
• Reduced importance of specific identity
• Recommendation/reputation systems
– consensus to separate trust in some action from
trust in recommendation
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Some specific observations (1)
• The social aspect of trust is only lightly
acknowledged by computing systems
– cf. lncs2995_266_276, lncs2995_146_160
– Modelling goodwill, community vs individual
benefit?
• Different approaches to trust with and
without 3rd party participation
– cf. lncs2692_17_32, lncs2692_46_58
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Some specific observations (2)
• Trust may be at the cost of privacy
– cf. lncs2995_108_119, lncs2995_108_119
• Empirical data concerning human trusting
behaviour is patchy
– cf. lncs2692_165_178, lncs2995_206_220
• Two clusters of trust definitions
– rational (expected benefit)
– social (moral duty, etc)
– cf. lncs2995_266_276
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On the Web
• This presentation (PPT and PDF)
– http://www.ninebynine.org/iTrust/iTrustSurvey.ppt
– http://www.ninebynine.org/iTrust/iTrustSurvey.pdf
• Raw survey data (Notation3 and HTML)
– http://www.ninebynine.org/iTrust/iTrust-survey.n3
– http://www.ninebynine.org/iTrust/iTrust-survey.html
• Survey processing rules (Notation3)
– http://www.ninebynine.org/iTrust/TrustRules.n3
• Processed survey data (Notation3)
– http://www.ninebynine.org/iTrust/TrustResults.n3
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Further activity
• Creating iTrust resource page, links for:
–
–
–
–
–
Papers
Tutorials
Presentations
Software
Projects
• Please send me your URLs!
– gk-itrust@ninebynine.org
– (or: iTrust mailing list)
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Discussion
• Are there other major themes?
• Most results directed to computing professionals?
• Is trust more than just another technique for
achieving security?
• Economic/sociological input seems focused on
reputation/recommender systems?
• Can/should computing with trust recognize its
social subtleties?
• Can trust sustenance be fully decentralized?
• How do other fields influence technical designs?
8 October 2004
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Notes
• Simon: taking metaphors from human
trust to inform system designs is useful.
Richer models are useful for organizations
coming to terms with trust.
• Reno: trust is different from security.
Security is source of Trust. Trust has to
cope with a (novel?) environment. Trust is
needed when there are risks. Re.
Subtleties “the devil is in the detail”.
Difficult to reduce the complex model and
ignore other parts.
8 October 2004
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Third iTrust conference
• http://wwwrocq.inria.fr/arles/events/iTrust2005
• Paper deadline: 25 November 2004
– Tutorials, demos later
• Conference: 24-26 May 2005
– Tutorials 23 May 2005
• This is the last conference of the present
iTrust series… please join in and get
people excited!
8 October 2004
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