We live in a time when billions of IoT devices are being
\ndeployed and increasingly relied upon. This makes ensuring their
\navailability and recoverability in case of a compromise a
\nparamount goal. The large and rapidly growing number of deployed
\nIoT devices make manual recovery impractical, especially if the
\ndevices are dispersed over a large area. Thus, there is a need
\nfor a reliable and scalable remote recovery mechanism that works
\neven after attackers have taken full control over devices,
\npossibly misusing them or trying to render them useless.<\/p>\n
To tackle this problem, we present Lazarus, a system that enables
\nthe remote recovery of compromised IoT devices. With Lazarus, an
\nIoT administrator can remotely control the code running on IoT
\ndevices unconditionally and within a guaranteed time bound. This
\nmakes recovery possible even in case of severe corruption of the
\ndevices’ software stack. We impose only minimal hardware
\nrequirements, making Lazarus applicable even for low-end
\nconstrained off-the-shelf IoT devices. We isolate \\name’s
\nminimal recovery trusted computing base from untrusted software
\nboth in time and by using a trusted execution environment. The
\ntemporal isolation prevents secrets from being leaked through
\nside-channels to untrusted software. Inside the trusted
\nexecution environment, we place minimal functionality that
\nconstrains untrusted software at runtime.<\/p>\n
We implement Lazarus on an ARM Cortex-M33-based microcontroller
\nin a full setup with an IoT hub, device provisioning and secure
\nupdate functionality. Our prototype can recover compromised
\nembedded OSs and bare-metal applications and prevents attackers
\nfrom bricking devices, for example, through flash wear out. We
\nshow this at the example of FreeRTOS, which requires no
\nmodifications but only a single additional task. Our evaluation
\nshows negligible runtime performance impact and moderate memory
\nrequirements.<\/p>\n","protected":false},"excerpt":{"rendered":"
We live in a time when billions of IoT devices are being deployed and increasingly relied upon. This makes ensuring their availability and recoverability in case of a compromise a paramount goal. The large and rapidly growing number of deployed IoT devices make manual recovery impractical, especially if the devices are dispersed over a large […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"ACM","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"The 15th ACM Asia Conference on Computer and Communications 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