Visible to the public Storage Efficient Substring Searchable Symmetric Encryption

TitleStorage Efficient Substring Searchable Symmetric Encryption
Publication TypeConference Paper
Year of Publication2018
AuthorsLeontiadis, Iraklis, Li, Ming
Conference NameProceedings of the 6th International Workshop on Security in Cloud Computing
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-5759-3
Keywordscloud, compression index, Metrics, privacy, pubcrawl, resilience, Resiliency, Scalability, secure outsourced storage, substring searchable encryption, suffix array, user privacy, user privacy in the cloud

We address the problem of substring searchable encryption. A single user produces a big stream of data and later on wants to learn the positions in the string that some patterns occur. Although current techniques exploit auxiliary data structures to achieve efficient substring search on the server side, the cost at the user side may be prohibitive. We revisit the work of substring searchable encryption in order to reduce the storage cost of auxiliary data structures. Our solution entails a suffix array based index design, which allows optimal storage cost \$O(n)\$ with small hidden factor at the size of the string n. Moreover, we implemented our scheme and the state of the art protocol $\backslash$textbackslashciteChase to demonstrate the performance advantage of our solution with precise benchmark results.

Citation KeyleontiadisStorageEfficientSubstring2018