Data protection in the industrial internet of things
Kok‐Seng Wong, Myung Ho Kim · 2016
The advancement of low-cost sensors and Internet of Things (IoT) platforms has brought on a wave of changes in how companies deliver their products and services.The Industrial Internet of Things (IIoT) is a new industrial ecosystem that combines intelligent and autonomous machines, advanced predictive analytics, and machine-human collaboration to improve productivity, efficiency and reliability.In an increasingly competitive business environment, information is the most important asset for any industry.The integration of industrial and IoT creates various attack surfaces duringdata transmission, data collection, data storage, data analysis, data sharing, data outsourcingand data publishing.The loss of sensitive information and other forms of enterprise information can lead to significant financial or business losses.Furthermore, the leakage of sensitive information related to external parties (e.g., external vendors) may cause reputational damage.In this paper, we will explore the impacts of data leakage and data loss in the Industrial IoT.Several of the data protection challenges and opportunities at different data processing stages, and the impact of privacy leakage for smart manufacturingare demonstrated.