Private Information Retrieval from Coded Databases with Colluding Servers

By Ragnar Freij, Oliver Wilhelm Gnilke, Camilla Hollanti, David A. Karpuk. 2016

245 citations recorded by the source corpus.

We present a general framework for Private Information Retrieval (PIR) from arbitrary coded databases, that allows one to adjust the rate of the scheme according to the suspected number of colluding servers. If the storage code is a generalized Reed-Solomon code of length n and dimension k, we design PIR schemes which simultaneously protect against t colluding servers and provide PIR rate 1-(k+t-1)/n, for all t between 1 and n-k. This interpolates between the previously studied cases of t=1 and k=1 and asymptotically achieves the known capacity bounds in both of these cases, as the size of the database grows.

Subfields: Artificial Intelligence, Computer Networks and Communications

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Salim el Rouayheb
  2. David A. Karpuk
  3. Razane Tajeddine
  4. Hua Sun
  5. Syed Ali Jafar
  6. Jörg Kliewer
  7. Sennur Ulukus
  8. Karim A. Banawan

In Computer Networks and Communications

  1. Salim el Rouayheb
  2. Hua Sun
  3. Syed Ali Jafar
  4. David A. Karpuk
  5. Razane Tajeddine
  6. Sennur Ulukus
  7. Karim A. Banawan
  8. Jörg Kliewer

Citations in the corpus