@inproceedings{ee67ddf51faf48fda7112e5aee01e1f3,
title = "Homomorphic Encryption-Based Similarity Calculation for Mobile Data Usage Prediction",
abstract = "For improving security, this study proposes a mobile data usage prediction method based on homomorphic encryption (HE)-based similarity calculation without plaintext storage. The cosine similarity, angular similarity, Tanimoto similarity, and Euclidean similarity based on HE according to ElGamal cryptography are proposed and combined in a machine learning method to consider the mobile data usage during the last periods for predicting the mobile data usage during the next period.",
keywords = "Homomorphic encryption, mobile data usage prediction, similarity",
author = "Chen, {Abel C.H.} and Lin, {Chia Yu} and Lai, {Yueh Ting}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 ; Conference date: 17-07-2023 Through 19-07-2023",
year = "2023",
doi = "10.1109/ICCE-Taiwan58799.2023.10226978",
language = "???core.languages.en_GB???",
series = "2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "331--332",
booktitle = "2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings",
}