Abstract | ||
---|---|---|
The Internet of Things represents a technology revolution transforming the current environment into a ubiquitous world, whereby everything that benefits from being connected will be connected. Despite the benefits, the privacy of these things becomes a great concern and it is imperative to apply privacy preservation techniques to IoT data collection. One such technique is called data obfuscation in which data is deliberately modified to blur the sensitive information. The current obfuscation techniques, however, focus on the privacy of published datasets. The high connectivity and distributed nature of IoT, opens up the possibility of privacy compromise before obfuscation can take effect, and therefore privacy enforcement should be deployed at earlier stages. Classical privacy treatments are too restrictive for IoT, where coarser/finer data details should be revealed. Motivated by these challenges, we propose a framework for privacy preservation in IoT environments that is capable of multi-granular obfuscation by enforcing context-driven disclosure policies. Then, we customize our framework for a smart vehicle system and make use of data stream watermarking to protect privacy. To address possible concerns about additional performance overhead, we show the burden to be very lightweight, thus validating the suitability of ubiquitous use of our framework for IoT settings. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TBDATA.2017.2737463 | IEEE Transactions on Big Data |
Keywords | Field | DocType |
Data privacy,Privacy,Data models,Internet of Things,Watermarking,Authorization | Data mining,Data modeling,Data collection,Internet privacy,Privacy by Design,Computer science,Computer security,Data stream,Obfuscation,Information sensitivity,Information privacy,Privacy software | Journal |
Volume | Issue | ISSN |
5 | 3 | 2332-7790 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Arezou Soltani Panah | 1 | 17 | 2.73 |
Yavari, A. | 2 | 2 | 1.37 |
Ron van Schyndel | 3 | 48 | 8.81 |
Dimitrios Georgakopoulos | 4 | 2554 | 580.54 |
Xun Yi | 5 | 813 | 91.07 |