Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/14302
DC FieldValueLanguage
dc.contributor.authorPešić, Sašaen
dc.contributor.authorRadovanović M.en
dc.contributor.authorIvanović, Mirjanaen
dc.contributor.authorBadica C.en
dc.contributor.authorMilošević Tošić, Mirjanaen
dc.contributor.authorIković O.en
dc.contributor.authorBošković D.en
dc.date.accessioned2020-03-03T14:55:40Z-
dc.date.available2020-03-03T14:55:40Z-
dc.date.issued2020-01-01en
dc.identifier.isbn9783030322571en
dc.identifier.issn1860949Xen
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/14302-
dc.description.abstract© Springer Nature Switzerland AG 2020. The ubiquitous connectivity of “things” in the Internet of Things, and fog computing systems, presents a stimulating setting for innovation and business opportunity, but also an immense set of security threats and challenges. Security engineering for such systems must take into consideration the peculiar conditions under which these systems operate: low resource constraints, decentralized decision making, large device churn, etc. Thus, techniques and methodologies of building secure and robust IoT/fog systems have to support these conditions. In this paper, we are presenting the CAAVI-RICS framework, a novel security review methodology tightly coupled with distributed, IoT and fog computing systems. With CAAVI-RICS we are exploring credibility, authentication, authorization, verification, and integrity through explaining the rationale, influence, concerns and security solutions that accompany them. Our contribution is a through systematic categorization and rationalization of security issues, covering the security landscape of IoT/fog computing systems. Additionally, we contribute to the discussion on the aspects of fog computing security and state-of-the-art solutions.en
dc.relation.ispartofStudies in Computational Intelligenceen
dc.titleCAAVI-RICS Model for Analyzing the Security of Fog Computing Systemsen
dc.typeConference Paperen
dc.identifier.doi10.1007/978-3-030-32258-8_3en
dc.identifier.scopus2-s2.0-85075574273en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85075574273en
dc.relation.lastpage34en
dc.relation.firstpage23en
dc.relation.volume868en
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptPrirodno-matematički fakultet, Departman za matematiku i informatiku-
crisitem.author.deptPrirodno-matematički fakultet, Departman za matematiku i informatiku-
crisitem.author.orcid0000-0003-1946-0384-
crisitem.author.orcid0000-0003-2426-9197-
crisitem.author.parentorgPrirodno-matematički fakultet-
crisitem.author.parentorgPrirodno-matematički fakultet-
Appears in Collections:PMF Publikacije/Publications
Show simple item record

SCOPUSTM   
Citations

3
checked on Nov 20, 2023

Page view(s)

36
Last Week
10
Last month
6
checked on May 10, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.