Exploring Trust Black-Swan Blindness in Social Internet of Vehicles (SIoV)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00135354" target="_blank" >RIV/00216224:14330/24:00135354 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3643655.3643877" target="_blank" >http://dx.doi.org/10.1145/3643655.3643877</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3643655.3643877" target="_blank" >10.1145/3643655.3643877</a>
Alternative languages
Result language
angličtina
Original language name
Exploring Trust Black-Swan Blindness in Social Internet of Vehicles (SIoV)
Original language description
Bringing social networking notions into the Internet of Vehicles (IoV) paradigm has defined Social IoV ecosystems as an extension of the Social Internet of Things (SIoT). SIoV ecosystems have increased the smart utilization of transport networks by enabling vehicles to communicate autonomously and share information about their surrounding environment. However, the ability of vehicles to establish social relationships autonomously with different IoV entities has inherited the primary challenge in SIoT, which is to establish trusted relationships. This is further emphasized by the dynamic nature of vehicular ecosystems that allow various kinds of misbehaviour to be unnoticed, leading to scarce trust evidence and increased risk of blind spots in trust management. In this work, we introduce our trust-management vision for SIoV by gaining from the Black Swan theory to turn unnoticeable malicious behaviors into noticeable ones, and create a true sense of trust in SIoV.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 12th ACM/IEEE International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems (SESoS 2024)
ISBN
9798400705571
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
53-56
Publisher name
ACM/IEEE
Place of publication
Lisbon, PORTUGAL
Event location
Lisbon, PORTUGAL
Event date
Jan 1, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001293142100008