PhD Proposal: Allyn: A Probabilistically Oblivious Language for Secure Multiparty Computation
Ian Sweet
Abstract
Secure Multiparty Computation (MPC) has emerged as a promising approach to mutually confidential computation. Traditionally, MPC programs do not allow memory to be addressed using secret values. This precludes, for example, a secure binary search in which the element being accessed is considered secret. This restriction is relaxed by ensuring that the secure computation is (probabilistically) oblivious. Unfortunately, existing languages for MPC do not support efficient, oblivious programming. We propose Allyn, a probabilistically oblivious language for MPC. We will show that Allyn can express asymptotically optimal secure ORAM (SC-ORAM) constructions, thereby proving that they are oblivious. This will allow for provably secure, asymptotically optimal implementations of RAM-model secure computations, such as binary search.
Examining Committee:
Examining Committee:
Chair: Dr. Michael Hicks
Dept rep: Dr. Jonathan Katz
Members: Dr. David Van Horn
Dr. David Darais
Dept rep: Dr. Jonathan Katz
Members: Dr. David Van Horn
Dr. David Darais
Bio
Ian Sweet is a PhD student in the Computer Science Department at the University of Maryland, College Park, advised by Dr. Mike Hicks. He is a member of the Programming Languages at University of Maryland (PLUM) group. His research focuses on the design, implementation, and verification of secure programming languages.
This talk is organized by Tom Hurst