  The growth in the number of devices connected to the Internet of Things (IoT)
poses major challenges in security. The integrity and trustworthiness of data
and data analytics are increasingly important concerns in IoT applications.
These are compounded by the highly distributed nature of IoT devices, making it
infeasible to prevent attacks and intrusions on all data sources. Adversaries
may hijack devices and compromise their data. As a result, reactive
countermeasures, such as intrusion detection and resilient analytics, become
vital components of security. This paper overviews algorithms for secure
distributed inference in IoT.
