Proceedings of the 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)

Trusted Evidence Index System of Cloud Platform

Authors
Lili Wu, Zhengmin Li, Tao Chen, Jinliang Hou
Corresponding Author
Lili Wu
Available Online March 2018.
DOI
https://doi.org/10.2991/iceea-18.2018.40How to use a DOI?
Keywords
cloud computing; trusted evidence; trusted evidence attribution; index system; trusted evidence model
Abstract
Trusted evidence collection is an important content in the study of the cloud platform trustworthiness. Trusted evidence index system and collection model should not only meet the description of cloud platform trusted evidence, but also solve the problems of model expansion by the massive evidence instance on the cloud platform. Based on the characteristics of data in the cloud, such as huge amounts and diversity of usage scenarios, source of evidence, and service types, we proposed the definition of credibility and trusted evidence on the cloud platform, and put forward a customized model of trusted evidence. According to the different sources and properties of trusted evidence, the model can describes and stores trusted evidence, and it provides an efficient method of data description and access for the subsequent remote attestation.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)
Part of series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-497-2
ISSN
2352-5401
DOI
https://doi.org/10.2991/iceea-18.2018.40How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lili Wu
AU  - Zhengmin Li
AU  - Tao Chen
AU  - Jinliang Hou
PY  - 2018/03
DA  - 2018/03
TI  - Trusted Evidence Index System of Cloud Platform
BT  - 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceea-18.2018.40
DO  - https://doi.org/10.2991/iceea-18.2018.40
ID  - Wu2018/03
ER  -