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https://doi.org/10.1016/j.future.2015.09.016

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A Comprehensive Approach to Privacy in the Cloud-based Internet of Things

[journal article]

Henze, Martin
Hermerschmidt, Lars
Kerpen, Daniel
Häußling, Roger
Rumpe, Bernhard
Wehrle, Klaus

Abstract

In the near future, the Internet of Things is expected to penetrate all aspects of the physical world, including homes and urban spaces. In order to handle the massive amount of data that becomes collectible and to offer services on top of this data, the most convincing solution is the federation of... view more

In the near future, the Internet of Things is expected to penetrate all aspects of the physical world, including homes and urban spaces. In order to handle the massive amount of data that becomes collectible and to offer services on top of this data, the most convincing solution is the federation of the Internet of Things and cloud computing. Yet, the wide adoption of this promising vision, especially for application areas such as pervasive health care, assisted living, and smart cities, is hindered by severe privacy concerns of the individual users. Hence, user acceptance is a critical factor to turn this vision into reality. To address this critical factor and thus realize the cloud-based Internet of Things for a variety of different application areas, we present our comprehensive approach to privacy in this envisioned setting. We allow an individual user to enforce all her privacy requirements before any sensitive data is uploaded to the cloud, enable developers of cloud services to integrate privacy functionality already into the development process of cloud services, and offer users a transparent and adaptable interface for configuring their privacy requirements.... view less

Keywords
data protection; Internet; everyday life; acceptance; privacy

Classification
Technology Assessment
Natural Science and Engineering, Applied Sciences

Free Keywords
Privacy; Cloud computing; Internet of Things; User acceptance

Document language
English

Publication Year
2016

Page/Pages
p. 701-718

Journal
Future Generation Computer Systems, 2016 (2016) 56

ISSN
0167-739X

Status
Postprint; peer reviewed

Licence
Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0


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GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.