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Distributed sensor networks such as IoT deployments generate large quantitiesof measurement data. Often, the analytics that runs on this data is availableas a web service which can be purchased for a fee. A major concern in theanalytics ecosystem is ensuring the security of the data. Often, companiesoffer Information Rights Management (IRM) as a solution to the problem ofmanaging usage and access rights of the data that transits administrativeboundaries. IRM enables individuals and corporations to create restricted IoTdata, which can have its flow from organisation to individual control --disabling copying, forwarding, and allowing timed expiry. We describe ourinvestigations into this functionality and uncover a weak-spot in thearchitecture -- its dependence upon the accurate global availability of\emph{time}. We present an amplified denial-of-service attack which attackstime synchronisation and could prevent all the users in an organisation fromreading any sort of restricted data until their software has been re-installedand re-configured. We argue that IRM systems built on current technology willbe too fragile for businesses to risk widespread use. We also present defencesthat leverage the capabilities of Software-Defined Networks to apply a simplefilter-based approach to detect and isolate attack traffic.

Do we have the time for IRM?: Service denial attacks and SDN-based defences