DocumentCode :
153579
Title :
Automating Efficient RAM-Model Secure Computation
Author :
Chang Liu ; Yan Huang ; Shi, Elaine ; Katz, Jonathan ; Hicks, Michael
Author_Institution :
Univ. of Maryland, College Park, MD, USA
fYear :
2014
fDate :
18-21 May 2014
Firstpage :
623
Lastpage :
638
Abstract :
RAM-model secure computation addresses the inherent limitations of circuit-model secure computation considered in almost all previous work. Here, we describe the first automated approach for RAM-model secure computation in the semi-honest model. We define an intermediate representation called SCVM and a corresponding type system suited for RAM-model secure computation. Leveraging compile-time optimizations, our approach achieves order-of-magnitude speedups compared to both circuit-model secure computation and the state-of-art RAM-model secure computation.
Keywords :
program compilers; random-access storage; security of data; SCVM; automated RAM-model secure computation approach; compile-time optimizations; intermediate representation; order-of-magnitude speedups; random access machine; Arrays; Computational modeling; Integrated circuit modeling; Program processors; Protocols; Random access memory; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Security and Privacy (SP), 2014 IEEE Symposium on
Conference_Location :
San Jose, CA
ISSN :
1081-6011
Type :
conf
DOI :
10.1109/SP.2014.46
Filename :
6956591
Link To Document :
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