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Abstract—Internet of Things (IoT) has become a pervasive and diverse concept in recent years. IoT applications and services have given rise to a number of sub-fields in the IoT space. Wearable technology, with its particular set of characteristics and application domains, has formed a rapidly growing subfield of IoT, viz., Wearable Internet of Things (WIoT). While numerous wearable devices are available in the market today, security and privacy are key factors for wide adoption of WIoT. Wearable devices are resource constrained by nature with limited storage, power, and computation. A Cloud-Enabled IoT (CEIoT) architecture, a dominant paradigm currently shaping the industry and suggested by many researchers, needs to be adopted for WIoT. In this paper, we develop an access control framework for cloud-enabled WIoT (CEWIoT) based on the Access Control Oriented (ACO) architecture recently developed for CEIoT in general. We first enhance the ACO architecture from the perspective of WIoT by adding an Object Abstraction Layer, and then develop our framework based on interactions between different layers of this enhanced ACO architecture. We present a general classification and taxonomy of IoT devices, along with brief introduction to various application domains of IoT and WIoT. We then present a remote health and fitness monitoring use case to illustrate different access control aspects of our framework and outline its possible enforcement in a commercial CEIoT platform, viz., AWS IoT. Finally, we discuss the objectives of our access control framework and relevant open problems.
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A Survey of Privacy Concerns in Wearable Devices
With the continued improvement and innovation, technology has become an integral part of our daily lives. The rapid adoption of technology and its affordability has given rise to the Internet-of-Things (IoT). IoT is an interconnected network of devices that are able to communicate and share information seamlessly. IoT encompasses a gamut of heterogeneous devices ranging from a small sensor to large industrial machines. One such domain of IoT that has seen a significant growth in the recent few years is that of the wearable devices. While the privacy issues for medical devices has been well-researched and documented in the literature, the threats to privacy arising from the use of consumer wearable devices have received very little attention from the research community. This paper presents a survey of the literature to understand the various privacy challenges, mitigation strategies, and future research directions as a result of the widespread adoption of wearable devices.
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- PAR ID:
- 10186799
- Date Published:
- Journal Name:
- 2018 IEEE International Conference on Big Data (Big Data)
- Page Range / eLocation ID:
- 4549 to 4553
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/BigData.2018.8622110
