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Remote attestation (RA) is a popular means of detecting malware in embeddedand IoT devices. RA is usually realized as an interactive protocol, whereby atrusted party -- verifier -- measures integrity of a potentially compromisedremote device -- prover. Early work focused on purely software-based and fullyhardware-based techniques, neither of which is ideal for low-end devices. Morerecent results have yielded hybrid (SW/HW) security architectures comprised ofa minimal set of features to support efficient and secure RA on low-enddevices.  All prior RA techniques require on-demand operation, i.e, RA is performed inreal time. We identify some drawbacks of this general approach in the contextof unattended devices: First, it fails to detect mobile malware that enters andleaves the prover between successive RA instances. Second, it requires theprover to engage in a potentially expensive (in terms of time and energy)computation, which can be harmful for critical or real-time devices.  To address these drawbacks, we introduce the concept of self-measurementwhere a prover device periodically (and securely) measures and records its ownsoftware state, based on a pre-established schedule. A possibly untrustedverifier occasionally collects and verifies these measurements. We present thedesign of a concrete technique called ERASMUS : Efficient Remote Attestationvia Self-Measurement for Unattended Settings, justify its features and evaluateits performance. In the process, we also define a new metric -- Quality ofAttestation (QoA). We argue that ERASMUS is well-suited for time-sensitiveand/or safety-critical applications that are not served well by on-demand RA.Finally, we show that ERASMUS is a promising stepping stone towards handlingattestation of multiple devices (i.e., a group or swarm) with high mobility.

ERASMUS: Efficient Remote Attestation via Self- Measurement for Unattended Settings