Private streaming with convolutional codes

Lukas Holzbaur; Ragnar Freij-Hollanti; Antonia Wachter-Zeh; Camilla Hollanti

doi:10.1109/ITW.2018.8613505

Private streaming with convolutional codes

Lukas Holzbaur, Ragnar Freij-Hollanti, Antonia Wachter-Zeh, Camilla Hollanti

Associate Professorship of Coding and Cryptography

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Recently, information-theoretic private information retrieval (PIR) from coded storage systems has gained a lot of attention, and a general star product PIR scheme was proposed. In this paper, the star product scheme is adopted, with appropriate modifications, to the case of private (e.g., video) streaming. It is assumed that the files to be streamed are stored on n servers in a coded form, and the streaming is carried out via a convolutional code. The star product is defined for this special case, and various properties are analyzed in the baseline case, with colluding servers, as well as with straggling and byzantine servers. The achievable PIR rates are derived for the given models.

Original language	English
Title of host publication	2018 IEEE Information Theory Workshop, ITW 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538635995
DOIs	https://doi.org/10.1109/ITW.2018.8613505
State	Published - 2 Jul 2018
Event	2018 IEEE Information Theory Workshop, ITW 2018 - Guangzhou, China Duration: 25 Nov 2018 → 29 Nov 2018

Publication series

Name	2018 IEEE Information Theory Workshop, ITW 2018

Conference

Conference	2018 IEEE Information Theory Workshop, ITW 2018
Country/Territory	China
City	Guangzhou
Period	25/11/18 → 29/11/18

Access to Document

10.1109/ITW.2018.8613505

Cite this

@inproceedings{cdfd575bb7da45e4851ae2e98f2d1199,

title = "Private streaming with convolutional codes",

abstract = "Recently, information-theoretic private information retrieval (PIR) from coded storage systems has gained a lot of attention, and a general star product PIR scheme was proposed. In this paper, the star product scheme is adopted, with appropriate modifications, to the case of private (e.g., video) streaming. It is assumed that the files to be streamed are stored on n servers in a coded form, and the streaming is carried out via a convolutional code. The star product is defined for this special case, and various properties are analyzed in the baseline case, with colluding servers, as well as with straggling and byzantine servers. The achievable PIR rates are derived for the given models.",

author = "Lukas Holzbaur and Ragnar Freij-Hollanti and Antonia Wachter-Zeh and Camilla Hollanti",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE Information Theory Workshop, ITW 2018. All rights reserved.; 2018 IEEE Information Theory Workshop, ITW 2018 ; Conference date: 25-11-2018 Through 29-11-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/ITW.2018.8613505",

language = "English",

series = "2018 IEEE Information Theory Workshop, ITW 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 IEEE Information Theory Workshop, ITW 2018",

}

Holzbaur, L, Freij-Hollanti, R, Wachter-Zeh, A & Hollanti, C 2018, Private streaming with convolutional codes. in 2018 IEEE Information Theory Workshop, ITW 2018., 8613505, 2018 IEEE Information Theory Workshop, ITW 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Information Theory Workshop, ITW 2018, Guangzhou, China, 25/11/18. https://doi.org/10.1109/ITW.2018.8613505

Private streaming with convolutional codes. / Holzbaur, Lukas; Freij-Hollanti, Ragnar; Wachter-Zeh, Antonia et al.
2018 IEEE Information Theory Workshop, ITW 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8613505 (2018 IEEE Information Theory Workshop, ITW 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Private streaming with convolutional codes

AU - Holzbaur, Lukas

AU - Freij-Hollanti, Ragnar

AU - Wachter-Zeh, Antonia

AU - Hollanti, Camilla

PY - 2018/7/2

Y1 - 2018/7/2

N2 - Recently, information-theoretic private information retrieval (PIR) from coded storage systems has gained a lot of attention, and a general star product PIR scheme was proposed. In this paper, the star product scheme is adopted, with appropriate modifications, to the case of private (e.g., video) streaming. It is assumed that the files to be streamed are stored on n servers in a coded form, and the streaming is carried out via a convolutional code. The star product is defined for this special case, and various properties are analyzed in the baseline case, with colluding servers, as well as with straggling and byzantine servers. The achievable PIR rates are derived for the given models.

AB - Recently, information-theoretic private information retrieval (PIR) from coded storage systems has gained a lot of attention, and a general star product PIR scheme was proposed. In this paper, the star product scheme is adopted, with appropriate modifications, to the case of private (e.g., video) streaming. It is assumed that the files to be streamed are stored on n servers in a coded form, and the streaming is carried out via a convolutional code. The star product is defined for this special case, and various properties are analyzed in the baseline case, with colluding servers, as well as with straggling and byzantine servers. The achievable PIR rates are derived for the given models.

UR - http://www.scopus.com/inward/record.url?scp=85062071347&partnerID=8YFLogxK

U2 - 10.1109/ITW.2018.8613505

DO - 10.1109/ITW.2018.8613505

M3 - Conference contribution

AN - SCOPUS:85062071347

T3 - 2018 IEEE Information Theory Workshop, ITW 2018

BT - 2018 IEEE Information Theory Workshop, ITW 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Information Theory Workshop, ITW 2018

Y2 - 25 November 2018 through 29 November 2018

ER -

Private streaming with convolutional codes

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this