Loading…
Back To Schedule
Thursday, July 11 • 2:00pm - 2:20pm
StreamBox-TZ: Secure Stream Analytics at the Edge with TrustZone

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

While it is compelling to process large streams of IoT data on the cloud edge, doing so exposes the data to a sophisticated, vulnerable software stack on the edge and hence security threats. To this end, we advocate isolating the data and its computations in a trusted execution environment (TEE) on the edge, shielding them from the remaining edge software stack which we deem untrusted.

This approach faces two major challenges: (1) executing high-throughput, low-delay stream analytics in a single TEE, which is constrained by a low trusted computing base (TCB) and limited physical memory; (2) verifying execution of stream analytics as the execution involves untrusted software components on the edge. In response, we present StreamBox-TZ (SBT), a stream analytics engine for an edge platform that offers strong data security, verifiable results, and good performance. SBT contributes a data plane designed and optimized for a TEE based on ARM TrustZone. It supports continuous remote attestation for analytics correctness and result freshness while incurring low overhead. SBT only adds 42.5 KB executable to the TCB (16% of the entire TCB). On an octa core ARMv8 platform, it delivers the state-of-the-art performance by processing input events up to 140 MB/sec (12M events/sec) with sub-second delay. The overhead incurred by SBT’s security mechanism is less than 25%.

Speakers
HP

Heejin Park

Purdue ECE
SZ

Shuang Zhai

Purdue ECE
LL

Long Lu

Northeastern University


Thursday July 11, 2019 2:00pm - 2:20pm PDT
USENIX ATC Track II: Grand Ballroom VII–IX