Capturing Dynamicity and Uncertainty in Security and Trust via Situational Patterns

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10422589" target="_blank" >RIV/00216208:11320/20:10422589 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/978-3-030-61470-6_18" target="_blank" >https://doi.org/10.1007/978-3-030-61470-6_18</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-61470-6_18" target="_blank" >10.1007/978-3-030-61470-6_18</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Capturing Dynamicity and Uncertainty in Security and Trust via Situational Patterns

Popis výsledku v původním jazyce

Modern smart systems are highly dynamic and allow for dynamic and ad-hoc collaboration not only among devices, but also among humans and organizations. Such a collaboration can introduce uncertainty to a system, as behavior of humans cannot be directly controlled and the system has to deal with unforeseen changes. Security and trust play a crucial role in these systems, especially in domains like Industry 4.0 and similar. In this paper we aim at providing situational patterns for tackling uncertainty in trust - in particular in access control. To do so, we provide a classification of uncertainty of access control in Industry 4.0 systems and illustrate this on a series of representative examples. Based on this classification and examples, we derive situational patterns per type of uncertainty. These situational patterns will serve as adaptation strategies in cases when, due to uncertainty, an unanticipated situation is encountered in the system. We base the approach on our previous work of autonomic component ensembles and security ensembles.

Název v anglickém jazyce

Capturing Dynamicity and Uncertainty in Security and Trust via Situational Patterns

Popis výsledku anglicky

Modern smart systems are highly dynamic and allow for dynamic and ad-hoc collaboration not only among devices, but also among humans and organizations. Such a collaboration can introduce uncertainty to a system, as behavior of humans cannot be directly controlled and the system has to deal with unforeseen changes. Security and trust play a crucial role in these systems, especially in domains like Industry 4.0 and similar. In this paper we aim at providing situational patterns for tackling uncertainty in trust - in particular in access control. To do so, we provide a classification of uncertainty of access control in Industry 4.0 systems and illustrate this on a series of representative examples. Based on this classification and examples, we derive situational patterns per type of uncertainty. These situational patterns will serve as adaptation strategies in cases when, due to uncertainty, an unanticipated situation is encountered in the system. We base the approach on our previous work of autonomic component ensembles and security ensembles.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GC20-24814J" target="_blank" >GC20-24814J: FluidTrust - popora důvěry pomocí dynamicky proměnlivého řízení přistupu k datům a zdrojům v systémech Průmyslu 4.0</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

Leveraging Applications of Formal Methods, Verification and Validation: Engineering Principles

ISBN

978-3-030-61469-0

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

16

Strana od-do

295-310

Název nakladatele

Springer

Místo vydání

Switzerland

Místo konání akce

Rhodes, Greece

Datum konání akce

20. 10. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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