A new form of computation is being evolved to include massive number of diverse set of conventional computing systems, sensors, devices, equipments, software and information services and apps. This new form of computing environment is known as the "Internet-of-Things" (IoT). The adoption of IoT is fast and the "things" are becoming integral part of people day-to-day life as well as essential elements in the businesses everyday activities and processes. Open characteristics of IoT environments raises privacy concern as "things" are autonomous with some degree of authority to sharing their capabilities and knowledge to fulfil their individual or collective tasks. As such privacy becomes central and an inherit computational aspect of the "things". The work presented here is based on modelling IoT as Cooperative Distributed Systems (CDS). It proposes a novel approach of analysing and modelling privacy concepts and concerns. Privacy protection is captured as a form of "sensitive information" management at the interaction level. A privacy protection management framework for CDS at the interaction level is proposed. The application of the framework has been demonstrated by extending Contract Net Protocol (CNP) to support privacy protection for CDS.

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Abstract. The "Internet-of-Things" (IoT), is a new computation platform, in which "Things" are the fundamental computational elements that are characterized with some form of digital-based capabilities and utilizes various embedded technologies to connect through the Internet with the external environment through standard protocols. Healthcare services and systems become very complex and encompass a vast number of entities (software systems, doctors, patients, devices, etc.) that are characterized by shared, distributed and heterogeneous devices, sensors, and information sources with varieties of clinical and medical settings. This paper presents an agent-based architecture that supports adhoc system configurations emphasizing the strategies for achieving real-time smart monitoring in SmartHealth environments with privacy based interaction protocol to protect privacy of entities while sharing information in the environment.

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