Emerging Researchers National (ERN) Conference

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The EGRBAC Model for Smart Home IoT Access Control

Graduate #35
Discipline: Computer Sciences and Information Management
Subcategory: Computer Science & Information Systems
Session: 4
Room: Virginia B

Safwa Ameer - The University of Texas at San Antonio
Co-Author(s): James Benson, The University of Texas at San Antonio, San Antonio; Ravi Sandhu, The University of Texas at San Antonio, San Antonio


Recently, the concept of IoT (Internet of Things) has gained tremendous attention in both research and industry. In the near future IoT will affect all industries and everyone’s daily life. In particular, it will be part of every home turning our houses into smart houses, in which we have multiple users with complex social relationships between them using the same smart devices. This requires usable authentication and sophisticated access control specification mechanisms that are currently lacking. In this research, we introduce an extended generalized role based access control (EGRBAC) model for smart home IoT. EGRBAC is a dynamic, fine grained, and suitable for constrained home environment model. Moreover, we demonstrate how EGRBAC can be enforced in smart homes. We further provide a security analysis for EGRBAC model. Finally, we provide a corresponding proof-of-concept implementation for three use cases in Amazon Web Services (AWS) IoT platform, followed by a conclusion and future enhancements section.

Funder Acknowledgement(s): NSF (C-SPECC)

Faculty Advisor: Ravi Sandhu, ravi.sandhu@utsa.edu

Role: The whole research. The co-authors are supervisors.

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.