TY - GEN
T1 - CAAVI-RICS model for analyzing the security of fog computing systems
T2 - 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019
AU - Pesic, Sasa
AU - Radovanovic, Milos
AU - Ivanovic, Mirjana
AU - Badica, Costin
AU - Tosic, Milenko
AU - Ikovic, Ognjen
AU - Boskovic, Dragan
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - The overarching connectivity of 'things' in the Internet of Things presents an appealing environment for innovation and business ventures, but also brings a certain set of security challenges. Engineering secure Internet of Things systems requires addressing the peculiar circumstances under which they operate: constraints due to limited resources, high node churn, decentralized decision making, direct interfacing with end users etc. Thus, techniques and methodologies for building secure and robust Internet of Things systems should support these conditions. In this paper, we are presenting a description of the CAAVI-RICS framework, a novel security review methodology tightly coupled with distributed, Internet of Things and fog computing systems. With CAAVI-RICS we are exploring credibility, authentication, authorization, verification, and integrity (CAAVI) through explaining the rationale, influence, concerns and security solutions (RICS) that accompany them. Our contribution is a thorough systematic categorization and rationalization of security issues, covering the security landscape of Internet of Things/fog computing systems, as well as contributing to the discussion on the aspects of fog computing security and state-of-the-art solutions. Specifically, in this paper we explore the Authentication in Internet of Things systems through the RICS review methodology.
AB - The overarching connectivity of 'things' in the Internet of Things presents an appealing environment for innovation and business ventures, but also brings a certain set of security challenges. Engineering secure Internet of Things systems requires addressing the peculiar circumstances under which they operate: constraints due to limited resources, high node churn, decentralized decision making, direct interfacing with end users etc. Thus, techniques and methodologies for building secure and robust Internet of Things systems should support these conditions. In this paper, we are presenting a description of the CAAVI-RICS framework, a novel security review methodology tightly coupled with distributed, Internet of Things and fog computing systems. With CAAVI-RICS we are exploring credibility, authentication, authorization, verification, and integrity (CAAVI) through explaining the rationale, influence, concerns and security solutions (RICS) that accompany them. Our contribution is a thorough systematic categorization and rationalization of security issues, covering the security landscape of Internet of Things/fog computing systems, as well as contributing to the discussion on the aspects of fog computing security and state-of-the-art solutions. Specifically, in this paper we explore the Authentication in Internet of Things systems through the RICS review methodology.
KW - Cybersecurity
KW - Distributed security modeling
KW - Fog computing
UR - http://www.scopus.com/inward/record.url?scp=85083242410&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85083242410&partnerID=8YFLogxK
U2 - 10.1109/PDCAT46702.2019.00050
DO - 10.1109/PDCAT46702.2019.00050
M3 - Conference contribution
AN - SCOPUS:85083242410
T3 - Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019
SP - 226
EP - 231
BT - Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019
A2 - Tian, Hui
A2 - Shen, Hong
A2 - Tan, Wee Lum
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 December 2019 through 7 December 2019
ER -