Can I read Provenance‐based data flow control mechanism for Internet of things on EtoBox?

Provenance‐based data flow control mechanism for Internet of things by Rongâna, Xie; Hui, Li; Guoâzhen, Shi; Yunâchuan, Guo; Ben, Niu; Mang, Su is a Computer Science article available to read on EtoBox.

What is Provenance‐based data flow control mechanism for Internet of things about?

## Abstract In the Internet of things (IoT), the flow and sharing of data between different devices has become a trend. However, determining how to ensure the controlled flow and sharing of data is an urgent problem to address to ensure data security and privacy in the IoT environment. To address the above problem, we propose a provenance‐based data flow control mechanism (PDFC) that includes flow control and further control to realize data flow control and further control after flow. The mechanism implements both direct and indirect control of data flow based on provenance data, which reduces the risk of indirect leakage. As data flow and are shared between different devices, the provenance data become increasingly large, consequently, indirect control on the provenance data takes increasing amounts of time, seriously affecting control efficiency. To improve the control efficiency of data flow, the provenance data are simplified according to the type of operation generating the data and the association degree of data and their provenance data. To reduce the storage space occupied by the provenance data and improve the efficiency of querying the provenance data, we propose a proven

Who reads Provenance‐based data flow control mechanism for Internet of things?

Author

Rongâna, Xie; Hui, Li; Guoâzhen, Shi; Yunâchuan, Guo; Ben, Niu; Mang, Su

Publisher

Wiley (John Wiley & Sons); John Wiley and Sons Ltd; Wiley (ISSN 2161-3915)

Published

2020

Language

EN

Field

Computer Science (Physical Sciences)