可信移动计算与数字版权管理综合方案

针对目前手持终端媒体受到版权侵犯、未授权使用及其非法在移动网络中传播困扰等问题,分析了采用开放移动联盟制订的数字版权管理技术,在解决这些问题时的不足及仍存在的潜在安全风险.创建性提出了一种基于可信移动计算平台之上且更为安全的数字版权管理模式,从而能强化该最新规范架构的安全性能并提升系统的交互性与兼容性.理论分析和实验结果表明,采用这种将两者相结合的策略后所构建的终端系统具备良好的健壮性.     

发送端自感知的概率粒度的数据包丢失原因甄别机制

We start this paper by answering the questions: What requirements should a good Loss Differentiation Mechanism (LD) for 802.11 networks in IoT meet? Do the existing LDs work well in 802.11 networks when moving towards IoT? Then we present the four properties that a LD used in IoT should own and the two-folded factors that we should consider when designing such a LD. Thereby, a novel LD is proposed utilizing the back-off frozen event to reveal collision probability. Our mechanism works efficiently with standard 802.11; only practical statistics information is needed. In addition, our mechanism can be done solely by the sender without introducing extra signaling overhead. Extensive simulations show that our mechanism can be applicable to different scenarios in 802.11 WLANs.