Title
Attribute-Based Access Control for the Swarm with Distributed Policy Management
Date Issued
01 February 2019
Access level
metadata only access
Resource Type
journal article
Author(s)
University of São Paulo
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
The Internet of Things (IoT) is revolutionizing society by enabling everyday life objects with processing and communication. The Swarm is an edge-centric IoT approach in which independent, cross-niche, and heterogeneous devices can cooperate with each other to execute tasks synergistically. Access control is indispensable for the Swarm, as it ensures confidentiality and ownership, and prevents cyber-attacks since only authorized services can communicate. Although many access control models do exist, there is a lack of edge-based and easy-to-use access control systems in the consumer electronics field. This paper presents a distributed attribute-based access control system for the Swarm. It features a distributed policy management GUI that allows users to setup policies for IoT devices in a decentralized way. The proposed system is evaluated according to a set of national institute of standards and technologies quality metrics, and it is also subject to a performance evaluation. Results indicate that the system offers good usability factors and can handle from 10 000 to 6 billion services when considering, respectively, an arbitrary graph density of 20% and a social-based graph density of 0.000034%.
Start page
90
End page
98
Volume
65
Issue
1
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones
Informática y Ciencias de la Información
Subjects
Scopus EID
2-s2.0-85057431801
Source
IEEE Transactions on Consumer Electronics
ISSN of the container
00983063
DOI of the container
10.1109/TCE.2018.2883382
Source funding
Capes Pro-Defesa
LSI-TEC
Sponsor(s)
Manuscript received April 1, 2018; revised June 23, 2018 and September 15, 2018; accepted November 20, 2018. Date of publication November 26, 2018; date of current version January 24, 2019. This work was supported by LSI-TEC and Capes Pro-Defesa. (Corresponding author: Geovane Fedrecheski.) G. Fedrecheski, L. C. C. De Biase, and M. K. Zuffo are with the Engineering School, Escola Politécnica of the University of São Paulo, University of São Paulo, Sao Paulo 05508-020, Brazil (e-mail: geovane@lsi.usp.br; laisa@lsi.usp.br; mkzuffo@lsi.usp.br).
Sources of information:
Directorio de Producción Científica
Scopus