Securing Embedded Networks through Secure Collective Attestation

Embedded devices are increasingly permeating our environment to collect data and act on the insight derived. Examples of such devices include smart environments and autonomous systems. The increasing ability to connect, communicate with, and remotely control such devices via the legacy internet has raised considerable security and privacy concerns. One key mechanism to protect the software integrity of these devices is attestation. In this dissertation, we devise attestation schemes that are scalable and applicable for large networks of embedded devices. In particular, we present attestation schemes that are capable of detecting remote malware infestation, physical, and run-time attacks in different settings including smart environments and autonomous systems.