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@article{ART002596634},
author={Jong-Hyun Lim and Kim Jong Wook},
title={Privacy-Preserving Aggregation of IoT Data with Distributed Differential Privacy},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={6},
pages={65-72},
doi={10.9708/jksci.2020.25.06.065}

TY - JOUR
AU - Jong-Hyun Lim
AU - Kim Jong Wook
TI - Privacy-Preserving Aggregation of IoT Data with Distributed Differential Privacy
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 6
PB - The Korean Society Of Computer And Information
SP - 65
EP - 72
SN - 1598-849X
AB - Today, the Internet of Things is used in many places, including homes, industrial sites, and hospitals, to give us convenience. Many services generate new value through real-time data collection, storage and analysis as devices are connected to the network. Many of these fields are creating services and applications that utilize sensors and communication functions within IoT devices. However, since everything can be hacked, it causes a huge privacy threat to users who provide data. For example, a variety of sensitive information, such as personal information, lifestyle patters and the existence of diseases, will be leaked if data generated by smarwatches are abused. Development of IoT must be accompanied by the development of security. Recently, Differential Privacy(DP) was adopted to privacy-preserving data processing. So we propose the method that can aggregate health data safely on smartwatch platform, based on DP.
KW - Internet of Things;Privacy-Preserving Aggregation;Distributed Differential Privacy;Smart Healthcare;Homomorphic Encryption;Paillier Cryptosystem
DO - 10.9708/jksci.2020.25.06.065
ER -

Jong-Hyun Lim and Kim Jong Wook. (2020). Privacy-Preserving Aggregation of IoT Data with Distributed Differential Privacy. Journal of The Korea Society of Computer and Information, 25(6), 65-72.

Jong-Hyun Lim and Kim Jong Wook. 2020, "Privacy-Preserving Aggregation of IoT Data with Distributed Differential Privacy", Journal of The Korea Society of Computer and Information, vol.25, no.6 pp.65-72. Available from: doi:10.9708/jksci.2020.25.06.065

Jong-Hyun Lim, Kim Jong Wook "Privacy-Preserving Aggregation of IoT Data with Distributed Differential Privacy" Journal of The Korea Society of Computer and Information 25.6 pp.65-72 (2020) : 65.

Jong-Hyun Lim, Kim Jong Wook. Privacy-Preserving Aggregation of IoT Data with Distributed Differential Privacy. 2020; 25(6), 65-72. Available from: doi:10.9708/jksci.2020.25.06.065

Jong-Hyun Lim and Kim Jong Wook. "Privacy-Preserving Aggregation of IoT Data with Distributed Differential Privacy" Journal of The Korea Society of Computer and Information 25, no.6 (2020) : 65-72.doi: 10.9708/jksci.2020.25.06.065

Jong-Hyun Lim; Kim Jong Wook. Privacy-Preserving Aggregation of IoT Data with Distributed Differential Privacy. Journal of The Korea Society of Computer and Information, 25(6), 65-72. doi: 10.9708/jksci.2020.25.06.065

Jong-Hyun Lim; Kim Jong Wook. Privacy-Preserving Aggregation of IoT Data with Distributed Differential Privacy. Journal of The Korea Society of Computer and Information. 2020; 25(6) 65-72. doi: 10.9708/jksci.2020.25.06.065

Jong-Hyun Lim, Kim Jong Wook. Privacy-Preserving Aggregation of IoT Data with Distributed Differential Privacy. 2020; 25(6), 65-72. Available from: doi:10.9708/jksci.2020.25.06.065

Jong-Hyun Lim and Kim Jong Wook. "Privacy-Preserving Aggregation of IoT Data with Distributed Differential Privacy" Journal of The Korea Society of Computer and Information 25, no.6 (2020) : 65-72.doi: 10.9708/jksci.2020.25.06.065