The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Penyulitan homomorfik sepenuhnya (FHE) membolehkan pengiraan rahsia. Pengguna boleh melakukan pengiraan menggunakan data yang disulitkan dengan FHE tanpa penyahsulitan. Memuat naik data peribadi tanpa penyulitan ke awan awam mempunyai risiko kebocoran data, yang membuatkan ramai pengguna teragak-agak untuk menggunakan awan awam. Memuat naik data yang disulitkan dengan FHE mengelakkan risiko ini, sambil tetap memberikan kuasa pengkomputeran awan awam. Dalam kebanyakan kes, data disimpan dalam HDD kerana saiz data meningkat dengan ketara apabila FHE digunakan. Satu analisis data penting ialah perlombongan data Apriori. Dalam aplikasi ini, dua fail diakses secara berselang-seli, dan ini menyebabkan pencarian jarak jauh pada HDD dan prestasi rendahnya. Dalam kertas ini, kami mencadangkan susun atur jalur baharu dengan tempahan untuk kawasan tulis. Kaedah ini sengaja memecah fail dan menyusun blok untuk mengurangkan jarak antara blok dalam fail dan fail lain. Ia menyimpan kawasan untuk fail perantaraan FHE Apriori. Prestasi kaedah yang dicadangkan telah dinilai berdasarkan pemprosesan I/O bagi FHE Apriori yang besar, dan keputusan menunjukkan kaedah yang dicadangkan boleh meningkatkan prestasi sehingga lebih kurang 28%.
Atsuki KAMO
Kogakuin University
Saneyasu YAMAGUCHI
Kogakuin University
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Salinan
Atsuki KAMO, Saneyasu YAMAGUCHI, "I/O Performance Improvement of FHE Apriori with Striping File Layout Considering Storage of Intermediate Data" in IEICE TRANSACTIONS on Information,
vol. E106-D, no. 6, pp. 1183-1185, June 2023, doi: 10.1587/transinf.2022EDL8071.
Abstract: Fully homomorphic encryption (FHE) enables secret computations. Users can perform computation using data encrypted with FHE without decryption. Uploading private data without encryption to a public cloud has the risk of data leakage, which makes many users hesitant to utilize a public cloud. Uploading data encrypted with FHE avoids this risk, while still providing the computing power of the public cloud. In many cases, data are stored in HDDs because the data size increases significantly when FHE is used. One important data analysis is Apriori data mining. In this application, two files are accessed alternately, and this causes long-distance seeking on its HDD and low performance. In this paper, we propose a new striping layout with reservations for write areas. This method intentionally fragments files and arranges blocks to reduce the distance between blocks in a file and another file. It reserves the area for intermediate files of FHE Apriori. The performance of the proposed method was evaluated based on the I/O processing of a large FHE Apriori, and the results showed that the proposed method could improve performance by up to approximately 28%.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2022EDL8071/_p
Salinan
@ARTICLE{e106-d_6_1183,
author={Atsuki KAMO, Saneyasu YAMAGUCHI, },
journal={IEICE TRANSACTIONS on Information},
title={I/O Performance Improvement of FHE Apriori with Striping File Layout Considering Storage of Intermediate Data},
year={2023},
volume={E106-D},
number={6},
pages={1183-1185},
abstract={Fully homomorphic encryption (FHE) enables secret computations. Users can perform computation using data encrypted with FHE without decryption. Uploading private data without encryption to a public cloud has the risk of data leakage, which makes many users hesitant to utilize a public cloud. Uploading data encrypted with FHE avoids this risk, while still providing the computing power of the public cloud. In many cases, data are stored in HDDs because the data size increases significantly when FHE is used. One important data analysis is Apriori data mining. In this application, two files are accessed alternately, and this causes long-distance seeking on its HDD and low performance. In this paper, we propose a new striping layout with reservations for write areas. This method intentionally fragments files and arranges blocks to reduce the distance between blocks in a file and another file. It reserves the area for intermediate files of FHE Apriori. The performance of the proposed method was evaluated based on the I/O processing of a large FHE Apriori, and the results showed that the proposed method could improve performance by up to approximately 28%.},
keywords={},
doi={10.1587/transinf.2022EDL8071},
ISSN={1745-1361},
month={June},}
Salinan
TY - JOUR
TI - I/O Performance Improvement of FHE Apriori with Striping File Layout Considering Storage of Intermediate Data
T2 - IEICE TRANSACTIONS on Information
SP - 1183
EP - 1185
AU - Atsuki KAMO
AU - Saneyasu YAMAGUCHI
PY - 2023
DO - 10.1587/transinf.2022EDL8071
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E106-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2023
AB - Fully homomorphic encryption (FHE) enables secret computations. Users can perform computation using data encrypted with FHE without decryption. Uploading private data without encryption to a public cloud has the risk of data leakage, which makes many users hesitant to utilize a public cloud. Uploading data encrypted with FHE avoids this risk, while still providing the computing power of the public cloud. In many cases, data are stored in HDDs because the data size increases significantly when FHE is used. One important data analysis is Apriori data mining. In this application, two files are accessed alternately, and this causes long-distance seeking on its HDD and low performance. In this paper, we propose a new striping layout with reservations for write areas. This method intentionally fragments files and arranges blocks to reduce the distance between blocks in a file and another file. It reserves the area for intermediate files of FHE Apriori. The performance of the proposed method was evaluated based on the I/O processing of a large FHE Apriori, and the results showed that the proposed method could improve performance by up to approximately 28%.
ER -