Mhetre, N.A., Deshpande, A.V. and Mahalle, P.N. (2021) Device Classification-Based Context Management for Ubiquitous Computing Using Machine Learning. International Journal of Engineering and Advanced Technology, 10, 135-142.
https://doi.org/10.35940/ijeat.E2688.0610521

has been cited by the following article:

• TITLE: Experience-Based Access Control in UbiComp: A New Paradigm

  AUTHORS: Nalini A. Mhetre, Arvind V. Deshpande, Parikshit N. Mahalle

  KEYWORDS: Access Control, Experience-Based Access Control, Experience Model, History, Reliability, Transitivity, Ubiquitous Computing, Ubiquity

  JOURNAL NAME: Journal of Computer and Communications, Vol.10 No.1, January 30, 2022

  ABSTRACT: Experience is a sociological concept and builds over time. In a broader sense, the human-centered equivalents of experience and trust apply to D2D interaction. Ubiquitous computing (UbiComp) embeds intelligence and computing capabilities in everyday objects to make them effectively communicate, share resources, and perform useful tasks. The safety of resources is a serious problem. As a result, authorization and access control in UbiComp is a significant challenge. Our work presents experience as an outcome of history (HI), reliability (RL), transitivity (TR), and Ubiquity (UB). This experience model is easily adaptable to a variety of self-regulating context-aware access control systems. This paper proposes a framework for Experience-Based Access Control (EX-BAC) with all major services provided by the model. EX-BAC extends attribute-based access control. It uses logical device type and experience as context parameters for policy design. When compared with the state-of-the-art, EX-BAC is efficient with respect to response time.