CRII: CPS: Towards Reliable Cyber-Physical Systems using Unreliable Human Sensors
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With the rapid growth of online social media and ubiquitous Internet connectivity, social sensing has emerged as a new CPS application paradigm of collecting observations (often called claims) about the physical environment from humans or devices on their behalf. A fundamental problem in social sensing applications lies in effectively ascertaining the correctness of claims and the reliability of data sources without knowing either of them a priori, which is referred to as truth discovery. In this work, we propose a Scalable Streaming Truth Discovery Scheme (SSTD) to address three fundamental challenges in social sensing truth discovery process.
Submitted by Dong Wang
on
pdf
With the rapid growth of online social media and ubiquitous Internet connectivity, social sensing has emerged as a new CPS application paradigm of collecting observations (often called claims) about the physical environment from humans or devices on their behalf. A fundamental problem in social sensing applications lies in effectively ascertaining the correctness of claims and the reliability of data sources without knowing either of them a priori, which is referred to as truth discovery. In this work, we propose a Scalable Streaming Truth Discovery Scheme (SSTD) to address three fundamental challenges in social sensing truth discovery process.
Submitted by Dong Wang
on