Abstrakti
Private information retrieval (PIR) is the problem of privately retrieving one out of M original files from N severs, i.e., each individual server gains no information on the identity of the file that the user is requesting. Usually, the M files are replicated or encoded by a maximum distance separable (MDS) code and then stored across the N servers. Compared to mere replication, MDS-coded servers can significantly reduce the storage overhead. Particularly, PIR from minimum storage regenerating (MSR) coded servers can simultaneously reduce the repair bandwidth when repairing failed servers. Existing PIR protocols from MSR-coded servers either require large sub-packetization levels or are not capacity-achieving. In this paper, a PIR protocol from MDS array codes is proposed, subsuming PIR from MSR-coded servers as a special case. Particularly, only the case of non-colluding, honest-but-curious servers is considered. The retrieval rate of the new PIR protocol achieves the capacity of PIR from MDS-/MSR-coded servers. By choosing different MDS array codes, the new PIR protocol can have varying advantages when compared with existing protocols, e.g., 1) small sub-packetization, 2) (near-)optimal repair bandwidth, 3) implementable over the binary field mathbf {F}-{2}.
| Alkuperäiskieli | Englanti |
|---|---|
| Artikkeli | 9037091 |
| Sivut | 3415-3425 |
| Sivumäärä | 11 |
| Julkaisu | IEEE Transactions on Communications |
| Vuosikerta | 68 |
| Numero | 6 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - kesäk. 2020 |
| OKM-julkaisutyyppi | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä |
Rahoitus
Manuscript received October 29, 2019; revised January 29, 2020; accepted March 1, 2020. Date of publication March 16, 2020; date of current version June 16, 2020. The work of Jie Li was supported in part by the National Science Foundation of China under Grant No. 61801176. The work of Camilla Hollanti was supported by the Academy of Finland, under Grants No. 303819 and 318937, by the Finnish Academy of Science and Letters, 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. The associate editor coordinating the review of this article and approving it for publication was L. Chen. (Corresponding author: Jie Li.) Jie Li is with the Department of Mathematics and Systems Analysis, Aalto University, FI-00076 Aalto, Finland, and also with the Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China (e-mail: [email protected]).
Sormenjälki
Sukella tutkimusaiheisiin 'Towards Practical Private Information Retrieval from MDS Array Codes'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.Projektit
- 1 Päättynyt
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Lukuteoreettisia ja kombinatorisia työkaluja yksityisiin ja turvallisiin pilvipalveluihin
Hollanti, C. (Vastuullinen johtaja), Grezet, M. (Projektin jäsen), Faramani, M. (Projektin jäsen), Damir, M. (Projektin jäsen), Blomqvist, F. (Projektin jäsen), Westerbäck, T. (Projektin jäsen) & Tajeddine, R. (Projektin jäsen)
01/07/2016 → 30/06/2018
Projekti: Academy of Finland: Other research funding
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