A Framework for Statistically Sender Private OT with Optimal Rate

ePrint Report: A Framework for Statistically Sender Private OT with Optimal Rate

Pedro Branco, Nico Döttling, Akshayaram Srinivasan

Statistical sender privacy (SSP) is the strongest achievable security notion for two-message oblivious transfer (OT) in the standard model, providing statistical security against malicious receivers and computational security against semi-honest senders. In this work we provide a novel construction of SSP OT from the Decisional Diffie-Hellman (DDH) and the Learning Parity with Noise (LPN) assumptions achieving (asymptotically) optimal amortized communication complexity, i.e. …

computational eprint report framework malicious message oblivious privacy private rate report security standard transfer