Abstract

With the development of computer network, people could obtain information through the network with stronger impulsion, the dependence of the requirements also becomes higher, this is not only reflected in the increase of information, but to obtain and submit more reflected in real-time and easy to access to information on the pressing needs of the. Therefore, people devoted all aspects from the terminal, network and software platforms to make unremitting efforts. Under this basis, we conduct synthetic research on the data encryption based mobile computing security enhancement model and multi-channel mobile human computer interaction framework in this paper. We firstly introduce the discrete-time Hopfield neural network based data encryption algorithm beyond the analysis on the information flow security and type based model, data security review and attack model under mobile computing environment. We improve learning algorithm of the MD method to avoid the sample mobile and cross interference problems of Hebb rule. Later, we integrate the multi-channel concept to propose the new multi-channel man–machine interaction. In our framework, the 3D interactive technology, speech recognition and synthesis technology, natural language understanding and processing technology, eye tracking technology, posture, input, tactile, force display basic technology are taken into consideration for the synthetic analysis. The result from the experimental simulation proves that our methodology obtains better effectiveness and feasibility from both the angels of data security and interface experience.

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