Browsing by Author "Calo, S."

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    Conference paperPublicationMetadata only
    A knowledge driven policy framework for internet of things
    (ScitePress, 2017) Goynugur, Emre; De Mel, G.; Şensoy, Murat; Talamadupula, K.; Calo, S.; Computer Science; ŞENSOY, Murat; Goynugur, Emre
    With the proliferation of technology, connected and interconnected devices (henceforth referred to as IoT) are fast becoming a viable option to automate the day-to-day interactions of users with their environment—be it manufacturing or home-care automation. However, with the explosion of IoT deployments we have observed in recent years, manually governing the interactions between humans-to-devices—and especially devices-to- devices—is an impractical task, if not an impossible task. This is because devices have their own obligations and prohibitions in context, and humans are not equip to maintain a bird’s-eye-view of the interaction space. Motivated by this observation, in this paper, we propose an end-to-end framework that (a) automatically dis- covers devices, and their associated services and capabilities w.r.t. an ontology; (b) supports representation of high-level—and expressive—user policies to govern the devices and services in the environment; (c) pro- vides efficient procedur es to refine and reason about policies to automate the management of interactions; and (d) delegates similar capable devices to fulfill the interactions, when conflicts occur. We then present our initial work in instrumenting the framework and discuss its details.
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    Tractable policy management framework for IoT
    (SPIE, 2017) Goynugur, Emre; De Mel, G.; Şensoy, Murat; Calo, S.; Computer Science; ŞENSOY, Murat; Goynugur, Emre
    Due to the advancement in the technology, hype of connected devices (hence forth referred to as IoT) in support of automating the functionality of many domains, be it intelligent manufacturing or smart homes, have become a reality. However, with the proliferation of such connected and interconnected devices, efficiently and effectively managing networks manually becomes an impractical, if not an impossible task. This is because devices have their own obligations and prohibitions in context, and humans are not equip to maintain a bird’s-eye-view of the state. Traditionally, policies are used to address the issue, but in the IoT arena, one requires a policy framework in which the language can provide sufficient amount of expressiveness along with efficient reasoning procedures to automate the management. In this work we present our initial work into creating a scalable knowledge-based policy framework for IoT and demonstrate its applicability through a smart home application.