Fuzzy Utility-Factor Assessments and Swarm Simulations on DRM Security Policies

Zhiyong Zhang, J. Pu, Qingtao Wu, Lili Zhang, Danmei Niu
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Abstract

In recent decade, DRM (Digital Rights Management) has focused on security techniques for solving the issues as the malicious copy, free dissemination and unrestricted abuse of digital contents or assets. Whereas some increasingly enhanced security policies, which were implemented at contents provider-side or user-side, have not brought about optimal utilities for participants in the contents value chain. An analytic hierarchy structure and its algorithm on the assessment on utility factors' weights for DRM security policies were proposed based on Fuzzy Analytic Hierarchy Process, and then Swarm simulation experiments were further made on the adoptions of typical security policies in combination with the gained weight values. The simulation results show the proposed approach to fuzzy assessments effectively implements rational and optimal decision-making on security policies combinations.
DRM安全策略的模糊效用因子评估与群仿真
近十年来,DRM(数字版权管理)一直致力于解决数字内容或资产的恶意复制、自由传播和无限制滥用等问题的安全技术。然而,在内容提供者端或用户端实现的一些日益增强的安全策略并没有为内容价值链中的参与者带来最佳效用。提出了基于模糊层次分析法的DRM安全策略效用因子权重评估的层次结构及其算法,并结合权重值对典型安全策略的采用进行了群仿真实验。仿真结果表明,所提出的模糊评价方法有效地实现了安全策略组合的合理最优决策。
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