Exploring Trust Black-Swan Blindness in Social Internet of Vehicles (SIoV)

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Exploring Trust Black-Swan Blindness in Social Internet of Vehicles (SIoV)

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Exploring Trust Black-Swan Blindness in Social Internet of Vehicles (SIoV)

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The 12th ACM/IEEE International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems (SESoS 2024)

ISBN

9798400705571

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

53-56

Název nakladatele

ACM/IEEE

Místo vydání

Lisbon, PORTUGAL

Místo konání akce

Lisbon, PORTUGAL

Datum konání akce

1. 1. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001293142100008