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

Technische Universität München

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Web of Science)

288 Downloads (Pure)

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	IEEE
Pages	550-554
Number of pages	5
ISBN (Electronic)	9781538635995
DOIs	https://doi.org/10.1109/ITW.2018.8613505
Publication status	Published - 15 Jan 2019
MoE publication type	A4 Conference publication
Event	IEEE Information Theory Workshop - Guangzhou, China Duration: 25 Nov 2018 → 29 Nov 2018

Publication series

Name	Information Theory Workshop
Publisher	IEEE
ISSN (Print)	2475-420X

Workshop

Workshop	IEEE Information Theory Workshop
Abbreviated title	ITW
Country/Territory	China
City	Guangzhou
Period	25/11/2018 → 29/11/2018

Funding

The work of L. Holzbaur, R. Freij-Hollanti, and A. Wachter-Zeh was supported by the Technical University of Munich – Institute for Advanced Study, funded by the German Excellence Initiative and European Union 7th Framework Programme under Grant Agreement No. 291763 and the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) under Grant No. WA3907/1-1. The work of C. Hollanti was supported by the Academy of Finland, under Grants No. 276031, 282938, and 303819, and by the Technical University of Munich – Institute for Advanced Study, funded by the German Excellence Initiative and the EU 7th Framework Programme under Grant Agreement No. 291763, via a Hans Fischer Fellowship.

Keywords

INFORMATION-RETRIEVAL
CAPACITY

Access to Document

10.1109/ITW.2018.8613505

SCI_Holzbauer_Freij-Hollanti.et.al_Private_Streaming_conv_pirAccepted author manuscript, 258 KB

Cite this

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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.",

keywords = "INFORMATION-RETRIEVAL, CAPACITY",

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AU - Holzbaur, Lukas

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AU - Wachter-Zeh, Antonia

AU - Hollanti, Camilla

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Y1 - 2019/1/15

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.

KW - INFORMATION-RETRIEVAL

KW - CAPACITY

UR - https://www.scopus.com/pages/publications/85062071347

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DO - 10.1109/ITW.2018.8613505

M3 - Conference article in proceedings

AN - SCOPUS:85062071347

T3 - Information Theory Workshop

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EP - 554

BT - 2018 IEEE Information Theory Workshop, ITW 2018

PB - IEEE

T2 - IEEE Information Theory Workshop

Y2 - 25 November 2018 through 29 November 2018

ER -

Private streaming with convolutional codes

Abstract

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Keywords

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