Visible to the public Biblio

Filters: Author is Neves, N.  [Clear All Filters]
2018-01-16
Vavala, B., Neves, N., Steenkiste, P..  2017.  Secure Tera-scale Data Crunching with a Small TCB. 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). :169–180.

Outsourcing services to third-party providers comes with a high security cost-to fully trust the providers. Using trusted hardware can help, but current trusted execution environments do not adequately support services that process very large scale datasets. We present LASTGT, a system that bridges this gap by supporting the execution of self-contained services over a large state, with a small and generic trusted computing base (TCB). LASTGT uses widely deployed trusted hardware to guarantee integrity and verifiability of the execution on a remote platform, and it securely supplies data to the service through simple techniques based on virtual memory. As a result, LASTGT is general and applicable to many scenarios such as computational genomics and databases, as we show in our experimental evaluation based on an implementation of LAST-GT on a secure hypervisor. We also describe a possible implementation on Intel SGX.