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FUZZY RISK ASSESSMENTS ON SECURITY POLICIES FOR DIGITAL RIGHTS MANAGEMENT

机译:数字权利管理安全政策的模糊风险评估

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摘要

In multimedia consuming, Digital Rights Management (DRM) is the important means to confirm the benefits of both digital contents/services providers and consumers. To keep the DRM system running in order, risk management should be adopted, which identifies and assesses the DRM system's security level. Now, the legitimate sharing of copyrighted digital content is still an open issue, which faces severe risks of propertied assets circumvention and copyright infringements. In this paper, we try to highlight a multi-disciplinary method for all-around examinations on risks to digital assets in the contents sharing scenario. The method is a qualitative and quantitative fuzzy risk assessment, which is used for estimating a novel concept called Risk-Controlled Utility (RCU) in DRM. Then, we emphasize an application case of the emerging trusted computing policy, and analyze the influences of different content sharing modes. Finally, we address a business model with some simulation results. Comparison with other methods shows that the fusion of qualitative and quantitative styles cannot only evaluate the RCU with uncertain risk events effectively, but also provide accurate assessment data for the security policies of DRM.
机译:在多媒体消费中,数字版权管理(DRM)是确认数字内容/服务提供商和消费者双方利益的重要手段。为了使DRM系统保持正常运行,应采用风险管理,该风险管理可以识别和评估DRM系统的安全级别。现在,合法共享受版权保护的数字内容仍然是一个未解决的问题,面临着财产回避和版权侵权的严重风险。在本文中,我们试图强调一种多学科方法,用于在内容共享场景中对数字资产的风险进行全面检查。该方法是定性和定量的模糊风险评估,用于评估DRM中称为风险控制效用(RCU)的新概念。然后,我们重点介绍了新兴可信计算策略的一个应用案例,并分析了不同内容共享模式的影响。最后,我们用一些模拟结果来处理业务模型。与其他方法的比较表明,定性和定量方式的融合不仅可以有效地评估具有不确定风险事件的RCU,而且可以为DRM的安全策略提供准确的评估数据。

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