Data security storage model for fog computing in large-scale IoT application
Title | Data security storage model for fog computing in large-scale IoT application |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | He, S., Cheng, B., Wang, H., Xiao, X., Cao, Y., Chen, J. |
Conference Name | IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) |
ISBN Number | 978-1-5386-5979-3 |
Keywords | Big Data, big data security storage, cloud computing, data security storage model, data synchronization, distributed processing, FCDSSM, FCS, Fog Computing, Fog Computing and Security, fog computing nodes, fog computing system, for fog computing, geographical distributed storage system, Internet of Things, IoT application, large-scale IoT application, pubcrawl, Resiliency, Scalability, security, security management, security of data, storage management, storage resources |
Abstract | With the scale of big data increasing in large-scale IoT application, fog computing is a recent computing paradigm that is extending cloud computing towards the edge of network in the field. There are a large number of storage resources placed on the edge of the network to form a geographical distributed storage system in fog computing system (FCS). It is used to store the big data collected by the fog computing nodes and to reduce the management costs for moving big data to the cloud. However, the storage of fog nodes at the edge of the network faces a direct attack of external threats. In order to improve the security of the storage of fog nodes in FCS, in this paper, we proposed a data security storage model for fog computing (FCDSSM) to realize the integration of storage and security management in large-scale IoT application. We designed a detail of the FCDSSM system architecture, gave a design of the multi-level trusted domain, cooperative working mechanism, data synchronization and key management strategy for the FCDSSM. Experimental results show that the loss of computing and communication performance caused by data security storage in the FCDSSM is within the acceptable range, and the FCDSSM has good scalability. It can be adapted to big data security storage in large-scale IoT application. |
URL | https://ieeexplore.ieee.org/document/8406927 |
DOI | 10.1109/INFCOMW.2018.8406927 |
Citation Key | he_data_2018 |
- for fog computing
- storage resources
- storage management
- security of data
- security management
- security
- Scalability
- Resiliency
- pubcrawl
- large-scale IoT application
- IoT application
- Internet of Things
- geographical distributed storage system
- Big Data
- fog computing system
- fog computing nodes
- Fog Computing and Security
- Fog computing
- FCS
- FCDSSM
- distributed processing
- data synchronization
- data security storage model
- Cloud Computing
- big data security storage