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Resource-constrained computing is a variant of distributed computing, in which computations are conducted using low-powered, low-processing, and memory-limited components. Systems based on this concept are well suited to scenarios where access to standard technology is impeded by infrastructural and economic factors, e.g. in health information systems, and in cyber-physical-systems such as smart microgrids. The focus of Dr. Anne Kayem's talk is on data protection in resource constrained computing systems in which resources are user-contributed. To demonstrate feasibility, Dr. Anne Kayem describes results from prototype implementations. She gave this talk as part of the HPI Colloquium on May 17, 2018.