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首页> 外文期刊>IEEE transactions on industrial informatics >Cyber-Physical Security Design in Multimedia Data Cache Resource Allocation for Industrial Networks
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Cyber-Physical Security Design in Multimedia Data Cache Resource Allocation for Industrial Networks

机译:用于工业网络多媒体数据缓存资源分配的网络物理安全设计

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摘要

For cyber-physical industrial networks,more and more multimedia data is faced in high-speed information transmission. The explosive data brings more challenges to the architecture of modern industrial networks. In this way, cache resource allocation technology is necessary for practical applications.In order to design reasonable caching framework, how to predict the multimedia data request is an important issue. In order to keep efficient and reliable data transmission in wireless industrial networks, security design is also critical for existing cache resource allocation. Based on previous works, some promising technologies have been applied, such as heterogeneous ultradense networks, wireless edge caching, and web content popularity prediction. In this paper, we summarize these promising technologies and provide a useful guidance for security design in cyber-physical cache resource allocation system. Specially, we can divide the proposed method into three main steps. First of all, a spatio-temporal multimedia content prediction based on long short-term memory is proposed for accurate prediction on multimedia data request. After that, we make use of Zipf fitting for caching model. At last, the caching optimization considering security is put forward in this paper. Experimental results show the satisfied performance of our proposed algorithm and it has obvious potential application value in cyber-physical industrial networks with cache resource allocation technology.
机译:对于网络物理工业网络,越来越多的多媒体数据面临高速信息传输。爆炸性数据为现代工业网络的建筑带来了更多挑战。通过这种方式,缓存资源分配技术是实际应用程序所必需的。在设计合理的缓存框架时,如何预测多媒体数据请求是一个重要问题。为了在无线工业网络中保持高效可靠的数据传输,安全设计对于现有的高速缓存资源分配也是至关重要的。基于以前的作品,已经应用了一些有希望的技术,例如异构超声网络,无线边缘缓存和Web内容普及预测。在本文中,我们总结了这些有前途的技术,并为网络 - 物理缓存资源分配系统中的安全设计提供了一个有用的指导。特别是,我们可以将提议的方法分为三个主要步骤。首先,提出了一种基于长短期存储器的时空多媒体内容预测,用于准确对多媒体数据请求的预测。之后,我们利用Zipf适用于缓存模型。最后,考虑安全考虑安全的缓存优化是本文提出的。实验结果表明,我们提出的算法的满意性能,在具有高速缓存资源分配技术的网络物理工业网络中具有明显的潜在应用价值。

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