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TSS Seminar: Muhammad Naveed, "Towards secure cloud storage: Blind Storage and Dynamic Searchable Encryption"

Event Type
Seminar/Symposium
Sponsor
Information Trust Institute
Location
2405 Siebel Center
Date
Mar 19, 2014   4:00 pm  
Speaker
Muhammad Naveed, University of Illinois at Urbana-Champaign

ABSTRACT:

Dynamic Searchable Symmetric Encryption allows a client to store a dynamic collection of encrypted documents with a server, and later quickly carry out keyword searches on these encrypted documents, while revealing minimal information to the server. In this paper we present a new dynamic SSE scheme that is simpler and more efficient than existing schemes while revealing less information to the server than prior schemes, achieving fully adaptive security against honest-but-curious servers. 

We implemented a prototype of our scheme and demonstrated its efficiency on datasets from prior work. Apart from its concrete efficiency, our scheme is also simpler: in particular, it does not require the server to support any operation other than upload and download of data. Thus the server in our scheme can be based solely on a cloud storage service, rather than a cloud computation service as well, as in prior work.

In building our dynamic SSE scheme, we introduce a new primitive called Blind Storage, which allows a client to store a set of files on a remote server in such a way that the server does not learn how many files are stored, or the lengths of the individual files; as each file is retrieved, the server learns about its existence (and can notice the same file being downloaded subsequently), but the file’s name and contents are not revealed. This is a primitive with several applications other than SSE, and is of independent interest.

BIOGRAPHY: 

Muhammad Naveed is a third year PhD student in computer science at the University of Illinois at Urbana-Champaign. He is interested in cryptography, security, and privacy. His current research focuses on secure cloud storage, applied cryptography, smartphone security and genomics privacy.

 

 

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