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Cyber-physical systems (CPS)/Internet of Things (IoT) are omnipresent in many industrial sectors and application domains in which the quality of the data acquired and used for decision support is a common factor. Data quality can deteriorate due to factors such as sensor faults and failures due to operating in harsh and uncertain environments. How can software engineering and artificial intelligence (AI) help manage and tame data quality issues in CPS/IoT? In this workshop, we aim to answer this question.
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This monograph summarizes and assesses the research efforts that address secure IoT data sharing. State-of-the-art techniques ensuring and preserving security in the IoT data-sharing environment have been systematically reviewed, through a systematic literature study.
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