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A Dynamic Optimal Selective Control Mechanism for Multi-Datastream Security in Video Conference System

机译:视频会议系统中多数据流安全性的动态最优选择控制机制

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Since media data in streaming media system are high volume and latency sensitive, transmission security of them have been a challenge task. To solve the problem, partial encryption and other media encryption schemes have been proposed. However those schemes are tradeoffs between security and efficiency. In a multi-stream system, using one media encryption scheme to protect all the media streams will induce either unscalability or insecurity. In this paper, the idea of partial encryption is generalized from encrypting a subset of one stream to multi-streams. A mathematical model based dynamic optimal selective control mechanism for multi-datastream security is proposed. Since the simplified model is 0-1 knapsack problem, which is NP-hard, a greedy heuristic incremental approximate algorithm is designed. Theoretical and experimental analyses show the performance of the algorithm is effective enough to support real-time applications. A prototype has been implemented in our Admire system, and used in a confidential project.
机译:由于流媒体系统中的媒体数据具有高容量和时延敏感性,因此它们的传输安全性已成为一项挑战性任务。为了解决该问题,已经提出了部分加密和其他媒体加密方案。但是,这些方案是安全性和效率之间的权衡。在多流系统中,使用一种媒体加密方案来保护所有媒体流将导致不可伸缩性或不安全性。在本文中,部分加密的思想从将一个流的一个子集加密为多个流得到了概括。提出了一种基于数学模型的多数据流安全动态最优选择控制机制。由于简化模型是0-1背包问题,是NP难问题,因此设计了一种贪婪启发式增量近似算法。理论和实验分析表明,该算法的性能足以支持实时应用。原型已在我们的Admire系统中实现,并用于机密项目中。

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