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A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system
معماری جدید اینترنت اشیاء و اکوسیستم داده های بزرگ برای نظارت بر سیستم مراقبت سلامت هوشمند و سیستم هشدار دهنده امن-2018 Wearable medical devices with sensor continuously generate enormous data which is often called as
big data mixed with structured and unstructured data. Due to the complexity of the data, it is difficult
to process and analyze the big data for finding valuable information that can be useful in decision
making. On the other hand, data security is a key requirement in healthcare big data system. In order
to overcome this issue, this paper proposes a new architecture for the implementation of IoT to store and
process scalable sensor data (big data) for health care applications. The Proposed architecture consists
of two main sub architectures, namely, Meta Fog-Redirection (MF-R) and Grouping and Choosing (GC)
architecture. MF-R architecture uses big data technologies such as Apache Pig and Apache HBase for
collection and storage of the sensor data (big data) generated from different sensor devices. The proposed
GC architecture is used for securing integration of fog computing with cloud computing. This architecture
also uses key management service and data categorization function (Sensitive, Critical and Normal) for
providing security services. The framework also uses MapReduce based prediction model to predict
the heart diseases. Performance evaluation parameters such as throughput, sensitivity, accuracy, and
f-measure are calculated to prove the efficiency of the proposed architecture as well as the prediction
model.
Keywords: Wireless sensor networks ، Internet of Things ، Big data analytics ، Cloud computing and health car |
مقاله انگلیسی |