Conference paper Open Access

Secure Tera-scale Data Crunching with a Small TCB

Vavala, Bruno; Neves, Nuno; Steenkiste, Peter

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Vavala, Bruno</dc:creator>
  <dc:creator>Neves, Nuno</dc:creator>
  <dc:creator>Steenkiste, Peter</dc:creator>
  <dc:description>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 LASTGT on a secure hypervisor. We also describe a possible implementation on Intel SGX.</dc:description>
  <dc:title>Secure Tera-scale Data Crunching with a Small TCB</dc:title>
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