Title :
Private searching for sensitive file signatures
Author_Institution :
Scalable and Secure Systems Research, Sandia National Labs, Livermore, CA, U.S.A.
Abstract :
We consider the problem of privately searching for sensitive or classified file signatures on an untrusted server. Inspired by the private stream searching system of Ostrovsky and Skeith, we propose a new scheme optimized for matching individual file signatures (versus keyword matching in documents). Our optimization stems from the simple observation that a complete list of matching file signatures can be replaced by a much smaller encrypted bitmask. This approach reduces a server´s response overhead from being linear in the number of matched documents to linear with respect to a system robustness parameter.
Keywords :
Classification algorithms; Cryptography; Optimization; Homomorphic encryption applications; Private matching; Private searching;
Conference_Titel :
Security and Cryptography (SECRYPT), 2011 Proceedings of the International Conference on
Conference_Location :
Seville, Spain