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Privacy Preservation in the Internet of Things
- Source :
- Lecture Notes in Electrical Engineering ISBN: 9789811016264, UNet
- Publication Year :
- 2016
- Publisher :
- Springer Singapore, 2016.
-
Abstract
- The Internet of Things (IoT) is the future of Internet where users, machines and everyday Things have the ability to sense, communicate and interact with their environment. IoT promises a wide variety of applications to make the human’s life more comfortable, safe and improve quality of life. It’s also considered as big business opportunity for enterprises based on huge quantity of data gathered by connected Things. In the IoT applications such as smart home, smart city, heath and so on, Things cohabit with humans and deal with their personal data even the most private ones. When this data is collected massively and exposed to Internet without an explicit person’s agreement, Things constitute by this way a threat for privacy, which is a universal human right. Thus privacy preservation is one of the most prominent issues in IoT. This paper analyzes the privacy in the context of IoT based on case study, and proposes mechanisms to improve security and preserve privacy. This analysis considers also the economic advantages related to the use of IoT as new business opportunity without personal private data disclosure. The proposed solutions are based on data anonymity technologies with recommendation for users and for developers of IoT application.
- Subjects :
- Information privacy
Data anonymization
Computer science
Privacy software
business.industry
Business opportunity
Internet privacy
020206 networking & telecommunications
Context (language use)
02 engineering and technology
021001 nanoscience & nanotechnology
Home automation
Smart city
0202 electrical engineering, electronic engineering, information engineering
The Internet
0210 nano-technology
business
Subjects
Details
- ISBN :
- 978-981-10-1626-4
- ISBNs :
- 9789811016264
- Database :
- OpenAIRE
- Journal :
- Lecture Notes in Electrical Engineering ISBN: 9789811016264, UNet
- Accession number :
- edsair.doi...........125429499fdf915a18cbf1bc61c1abbb
- Full Text :
- https://doi.org/10.1007/978-981-10-1627-1_13