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Multi-Party Private Function Evaluation for RAM
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AI
DOI：10.1109/TIFS.2023.3236457.png)
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Abstract
En 中文
function evaluation (PFE) is a special type of MPC protocols that, in addition to the input privacy, can preserve the function privacy. In this work, we propose a PFE scheme for RAM. In particular, we first design an efficient 4-server distributed ORAM scheme with amortized communication O (log n) per access (both reading and writing). We then simulate a RISC RAM machine over the MPC platform, hiding (i) the memory access pattern, (ii) the machine state (including registers, program counter, condition flag, etc.), and (iii) the executed instructions. Our scheme can naturally support a simplified TinyRAM instruction set; if a public RAM program P with given inputs x needs to execute z instruction cycles, our PFE scheme is able to securely evaluate P(x) on private P and x within 5z + 1 online rounds. We prototype and benchmark our system for set intersection, binary search, and quicksort algorithms. For instance, obliviously performing the binary search algorithm on a 2(10) array takes 5.81s with function privacy.
Keywords:
Random access memory
Cryptography
Protocols
Writing
Databases
Privacy
Registers
Private function evaluation
MPC for RAM
distributed ORAM
Journal
IF:
8
Papers:
5.3K
Citations:
2.3W
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