4.8 Article

Cyber-Physical Security Design in Multimedia Data Cache Resource Allocation for Industrial Networks

期刊

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
卷 15, 期 12, 页码 6472-6480

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2019.2917693

关键词

Wireless communication; Security; Communication system security; Multimedia communication; Resource management; Informatics; Base stations; Cyber-physical security; industrial network; multimedia data; wireless communication caching

资金

  1. National Natural Science Foundation of China [61871283]
  2. Foundation of Pre-research on Equipment of China [61403120103]
  3. Major Civil-Military Integration Project in Tianjin, China [18ZXJMTG00170, TII-19-0501]

向作者/读者索取更多资源

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.

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