Privacy Enhancing Techniques in the Internet of Things Using Data Anonymisation
Identification
k-Anonymity
DOI:
10.1007/s10796-021-10116-w
Publication Date:
2021-05-11T08:03:20Z
AUTHORS (7)
ABSTRACT
Abstract The Internet of Things (IoT) and Industrial 4.0 bring enormous potential benefits by enabling highly customised services applications, which create huge volume variety data. However, preserving the privacy in IoT against re-identification attacks is very challenging. In this work, we considered three main data types generated IoT: context , continuous media . We first proposed a stream anonymisation method based on k -anonymity for collected devices; then enhancing techniques both were different scenarios. experiment results show that can well preserve without significantly affecting utility
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