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

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.