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

A Systematic Framework to Generate Invariants for Anomaly Detection...

Cheng Feng (Imperial College London & Siemens Corporate Technology), Venkata Reddy Palleti (Singapore University of Technology and Design), Aditya Mathur (Singapore University of Technology and Design), Deeph Chana (Imperial College London)

Read More

Master of Web Puppets: Abusing Web Browsers for Persistent...

Panagiotis Papadopoulos (FORTH-ICS, Greece), Panagiotis Ilia (FORTH-ICS), Michalis Polychronakis (Stony Brook University, USA), Evangelos P. Markatos (FORTH-ICS, Greece), Sotiris Ioannidis (FORTH-ICS, Greece), Giorgos Vasiliadis (FORTH-ICS, Greece)

Read More

NIC: Detecting Adversarial Samples with Neural Network Invariant Checking

Shiqing Ma (Purdue University), Yingqi Liu (Purdue University), Guanhong Tao (Purdue University), Wen-Chuan Lee (Purdue University), Xiangyu Zhang (Purdue University)

Read More

Data Oblivious ISA Extensions for Side Channel-Resistant and High...

Jiyong Yu (UIUC), Lucas Hsiung (UIUC), Mohamad El'Hajj (UIUC), Christopher W. Fletcher (UIUC)

Read More