Trusted Measurement Model of Multidimension Parameter Based on Self-learning

CAI Qingling; ZHAN Yiju; YANG Jian

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Trusted Measurement Model of Multidimension Parameter Based on Self-learning

更新时间：2023-12-11

- Trusted Measurement Model of Multidimension Parameter Based on Self-learning
- Acta Scientiarum Naturalium Universitatis SunYatseni Vol. 53, Issue 4, Pages: 21-24(2014)
- 作者机构：
  
  1. 中山大学工学院,广东,广州,510275
  2. 
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014，
  
  Published Online：25 July 2014，
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CAI Qingling, ZHAN Yiju, YANG Jian. Trusted Measurement Model of Multidimension Parameter Based on Self-learning. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 53(4):21-24(2014)
DOI：

CAI Qingling, ZHAN Yiju, YANG Jian. Trusted Measurement Model of Multidimension Parameter Based on Self-learning. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 53(4):21-24(2014) DOI：

摘要

针对可信度量现存问题，依据软件安全保护原则提出通过融合多方度量因子建立综合的可信度量模型——随机抽取划分序列策略模型。该模型兼顾了软件安全度需求系数、软件安全度评估系数及软件执行所需资源开销系数等多方因素，摒弃了传统单一的度量方法，建立了综合性的可信度量策略及构造方法，兼顾了多方面安全需求问题，并且实现了细粒度完整性检验，降低了可信度量的运算开销。

Abstract

To solve trusted measurement

a trusted measurement model of multidimension parameter (called Random Division Sequence Model

is given through the integration of multi-factor based on the software security protection principles. D

takes into account software security level factor

software security assessment factor and the required resources of software operation factor

which abandons the traditional single measurement methods and establishes a comprehensive trusted measurement model by giving consideration to various security requirements. D

achieves a fine-grained integrity measurement

and reduces operation costs.

关键词

可信计算可信度量完整性检验

Keywords

trusted computingtrusted measurementintegrity measurement

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