TY - GEN
T1 - Private streaming with convolutional codes
AU - Holzbaur, Lukas
AU - Freij-Hollanti, Ragnar
AU - Wachter-Zeh, Antonia
AU - Hollanti, Camilla
PY - 2019/1/15
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 - 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 - Information Theory Workshop
SP - 550
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 -