Optimal Rate Private Information Retrieval from Homomorphic Encryption

By Aggelos Kiayias, Nikos Leonardos, Helger Lipmaa, Kateryna Pavlyk, Qiang Tang. 2015

46 citations recorded by the source corpus.

Abstract We consider the problem of minimizing the communication in single-database private information retrieval protocols in the case where the length of the data to be transmitted is large. We present first rate-optimal protocols for 1-out-of-n computationallyprivate information retrieval (CPIR), oblivious transfer (OT), and strong conditional oblivious transfer (SCOT). These protocols are based on a new optimalrate leveled homomorphic encryption scheme for large-output polynomial-size branching programs, that might be of independent interest. The analysis of the new scheme is intricate: the optimal rate is achieved if a certain parameter s is set equal to the only positive root of a degree-(m + 1) polynomial, where m is the length of the branching program. We show, by using Galois theory, that even when m = 4, this polynomial cannot be solved in radicals. We employ the Newton-Puiseux algorithm to find a Puiseux series for s, and based on this, propose a Θ (logm)-time algorithm to find an integer approximation to s.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications

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In Artificial Intelligence

  1. Shai Halevi
  2. Srinath T. V. Setty
  3. Craig Gentry
  4. Kim Laine
  5. Hao Chen
  6. Sarvar Patel
  7. Mariana Raykova
  8. Kevin Yeo

In Computational Theory and Mathematics

  1. Shai Halevi
  2. Srinath T. V. Setty
  3. Hao Chen
  4. Craig Gentry
  5. Kim Laine
  6. Sarvar Patel
  7. Mariana Raykova
  8. Ryan Henry

In Computer Networks and Communications

  1. Srinath T. V. Setty
  2. Helger Lipmaa
  3. Ryan Henry
  4. Shai Halevi
  5. Mariana Raykova
  6. Craig Gentry
  7. Sebastian Angel
  8. Tancrède Lepoint

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