Anrin Chakraborti (Stony Brook University), Radu Sion (Stony Brook University)

ConcurORAM is a parallel, multi-client oblivious RAM (ORAM) that eliminates waiting for concurrent stateless clients and allows over-all throughput to scale gracefully, without requiring trusted third party components (proxies) or direct inter-client coordination. A key insight behind ConcurORAM is the fact that, during multi-client data access, only a subset of the concurrently-accessed server-hosted data structures require access privacy guarantees. Everything else can be safely implemented as oblivious data structures that are later synced securely and efficiently during an ORAM “eviction”.

Further, since a major contributor to latency is the eviction– in which client-resident data is reshuffled and reinserted back encrypted into the main server database – ConcurORAM also enables multiple concurrent clients to evict asynchronously, in parallel (without compromising consistency), and in the back-ground without having to block ongoing queries. As a result, throughput scales well with increasing number of concurrent clients and is not significantly impacted by evictions. For example, about 65 queries per second can be executed in parallel by 30 concurrent clients, a 2x speedup over the state-of-the-art. The query access time for individual clients increases by only 2x when compared to a single-client deployment.

View More Papers

Component-Based Formal Analysis of 5G-AKA: Channel Assumptions and Session...

Cas Cremers (CISPA Helmholtz Center for Information Security), Martin Dehnel-Wild (University of Oxford)

Read More

rORAM: Efficient Range ORAM with O(log2 N) Locality

Anrin Chakraborti (Stony Brook University), Adam J. Aviv (United States Naval Academy), Seung Geol Choi (United States Naval Academy), Travis Mayberry (United States Naval Academy), Daniel S. Roche (United States Naval Academy), Radu Sion (Stony Brook University)

Read More

Tranco: A Research-Oriented Top Sites Ranking Hardened Against Manipulation

Victor Le Pochat (imec-DistriNet, KU Leuven), Tom Van Goethem (imec-DistriNet, KU Leuven), Samaneh Tajalizadehkhoob (Delft University of Technology), Maciej Korczyński (Grenoble Alps University), Wouter Joosen (imec-DistriNet, KU Leuven)

Read More

Cybercriminal Minds: An investigative study of cryptocurrency abuses in...

Seunghyeon Lee (KAIST, S2W LAB Inc.), Changhoon Yoon (S2W LAB Inc.), Heedo Kang (KAIST), Yeonkeun Kim (KAIST), Yongdae Kim (KAIST), Dongsu Han (KAIST), Sooel Son (KAIST), Seungwon Shin (KAIST, S2W LAB Inc.)

Read More