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| 对两个改进的BLP模型的分析 |
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何建波1,2,3, 卿斯汉2,4,5, 王超2,4,3
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1.中国科学院,软件研究所,基础软件国家工程研究中心,北京,100080;2.中国科学院,软件研究所,信息安全工程技术研究中心,北京,100080;3.中国科学院,研究生院,北京,100049;4.北京中科安胜信息技术有限公司,北京,100086;5.北京大学,软件与微电子学院,北京,102600
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| 摘要: |
| 安全性和灵活性是各种改进的BLP模型追求的目标.如何在保持安全性的前提下增加BLP模型的灵活性,一直是安全操作系统研究人员研究的重点.安全模型是系统设计的基础,如果在系统中实现了不安全的"安全模型",其后果是严重的.结合多级安全(MLS)的核心思想,通过实例列举的方式深入分析了两个改进的BLP模型--DBLP(dynamic BLP)和SLCF(security label common framework).尽管这两个模型都提出了在系统运行时动态地调整主体安全级的规则,但是分析表明,它们还是不安全的.在这两个模型的规则控制下,特洛伊木马可以通过显式地读和写操作将高安全等级的信息泄漏给低安全等级的主体,从而违反了多级安全(MLS)策略.研究结果为人们避免选用不安全的模型提供了有意义的理论支持. |
| 关键词: 安全性 灵活性 BLP模型 特洛伊木马 信息流 |
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| 基金项目:Supported by the National Natural Science Foundation of China under Grant No.60573042 (国家自然科学基金); the National Basic Research Program of China under Grant No.G1999035802 (国家重点基础研究发展计划(973)); the Beijing Natural Science Foundation of China under Grant No.4052016 (北京市自然科学基金) |
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| Analysis of Two Improved BLP Models |
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HE Jian-Bo,QING Si-Han,WANG Chao
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| Abstract: |
| The security and flexibility are two goals that various improved BLP models attempt to achieve. How to enhance the flexibility of BLP model is a challenging problem that security researchers try to solve. However, the implementation of an insecure “security model” in the system will result in an insecure system. In this paper, two improved BLP models, for short DBLP (dynamic BLP) and SLCF (security label common framework), are analyzed. Although the designers of the two models claimed that their proposals can adjust the security level of the untrusted subject dynamically and accordingly improve the flexibility of the classical BLP model, the analytic results show that the two improved models are not secure at all. Under the rules of the two improved models a Trojan horse can “legally” read the high-level information and then write them to low-level objects, which violate the principle of multi-level security (MLS). This effort provides a theoretical foundation for avoiding the choice of insecure MLS model. |
| Key words: security flexibility BLP model Trojan horse information flow |
