Presentation 2018-09-27
SVM Computing Considering Dimension Reduction in the Encrypted Domain
Ayana Kawamura, Takahiro Maekawa, Yuma Kinoshita, Hitoshi Kiya,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a SVM computing scheme with EtC images, and evaluate the effectiveness of the proposed scheme, where EtC images are images encrypted by the method, which has been proposed for Encryption-then-Systems with JPEG compression. Recently, cloud computing is spreading in many fields. However, the cloud computing has some serious issues for end users, such as unauthorized use and leak of data, and privacy compromise, due to unreliability of providers and some accidents. Because of such a situation, this paper considers privacy-preserving SVM computing. It is shown that generating EtC images is reduced to a generation scheme using an unitary transform matrix under the use of z-score normalization of the data, so it does not effect the accuracy of SVM computing, even when most of kernel fuctions are used. In addition, we propose a scheme for reducing the number of dimensions from EtC images directly by considering the block size used for encryption.The proposed scheme allows us to obtain the same results as those computed from unencrypted images with redued dimensions.Some face recognition experiments are carried out as a SVM classification scheme to experimentally confirm the effectiveness of the proposed scheme.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) SVM / Encryption-then-Compression / encrypted domain / JPEG
Paper # LOIS2018-11,IE2018-31,EMM2018-50
Date of Issue 2018-09-20 (LOIS, IE, EMM)

Conference Information
Committee IEE-CMN / EMM / LOIS / IE / ITE-ME
Conference Date 2018/9/27(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Beppu Int'l Convention Ctr. aka B-CON Plaza
Topics (in Japanese) (See Japanese page)
Topics (in English) Multimedia Communication/System, Lifelog Applications, IP Broadcasting/Video Transmission, Media Security, Media Processing (AI, Deep Learning), etc.
Chair Shun Morimura(CRIEPI) / Keiichi Iwamura(TUC) / Tomohiro Yamada(NTT) / Takayuki Hamamoto(Tokyo Univ. of Science) / Miki Haseyama(北大)
Vice Chair / Minoru Kuribayashi(Okayama Univ.) / Tetsuya Kojima(NIT,Tokyo College) / Toru Kobayashi(Nagasaki Univ.) / Hideaki Kimata(NTT) / Kazuya Kodama(NII) / Norio Tagawa(Tokyo Metropolitan Univ.)
Secretary (Tokai Univ.) / Minoru Kuribayashi(Kansai Univ.) / Tetsuya Kojima(NIT, Tokyo) / Toru Kobayashi(Chukyo Univ.) / Hideaki Kimata(NTT) / Kazuya Kodama(Research Organization of Information and Systems) / Norio Tagawa(KDDI Research)
Assistant Tomotaka Kimura(Doshisha Univ.) / 田中 彰浩(CRIEPI) / Hiroko Akiyama(NIT, Nagano College) / Kitahiro Kaneda(CANON) / Shinichiro Eitoku(NTT) / Kazuya Hayase(NTT) / Yasutaka Matsuo(NHK)

Paper Information
Registration To Technical Meeting on Communications / Technical Committee on Enriched MultiMedia / Technical Committee on Life Intelligence and Office Information Systems / Technical Committee on Image Engineering / Technical Group on Media Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) SVM Computing Considering Dimension Reduction in the Encrypted Domain
Sub Title (in English)
Keyword(1) SVM
Keyword(2) Encryption-then-Compression
Keyword(3) encrypted domain
Keyword(4) JPEG
1st Author's Name Ayana Kawamura
1st Author's Affiliation Tokyo Metropolitan University(Tokyo Metropolitan Univ.)
2nd Author's Name Takahiro Maekawa
2nd Author's Affiliation Tokyo Metropolitan University(Tokyo Metropolitan Univ.)
3rd Author's Name Yuma Kinoshita
3rd Author's Affiliation Tokyo Metropolitan University(Tokyo Metropolitan Univ.)
4th Author's Name Hitoshi Kiya
4th Author's Affiliation Tokyo Metropolitan University(Tokyo Metropolitan Univ.)
Date 2018-09-27
Paper # LOIS2018-11,IE2018-31,EMM2018-50
Volume (vol) vol.118
Number (no) LOIS-222,IE-223,EMM-224
Page pp.pp.7-12(LOIS), pp.7-12(IE), pp.7-12(EMM),
#Pages 6
Date of Issue 2018-09-20 (LOIS, IE, EMM)