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A synthetic research on the multimedia data encryption based mobile computing security enhancement model and multi-channel mobile human computer interaction framework

机译:基于多媒体数据加密的移动计算安全性增强模型与多通道移动人机交互框架的综合研究

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摘要

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.
机译:随着计算机网络的发展,人们可以通过网络以更强的冲动获取信息,对要求的依赖性也越来越高,这不仅体现在信息的增加,而且获取和提交更多的信息实时地反映出来。轻松获取有关迫切需求的信息。因此,人们从终端,网络和软件平台的各个方面进行了不懈的努力。在此基础上,本文对基于数据加密的移动计算安全性增强模型和多通道移动人机交互框架进行了综合研究。我们首先介绍了基于离散Hopfield神经网络的数据加密算法,并分析了移动计算环境下的信息流安全和基于类型的模型,数据安全审查和攻击模型。我们改进了MD方法的学习算法,避免了样本移动和Hebb规则的交叉干扰问题。后来,我们结合了多通道概念来提出新的多通道人机交互。在我们的框架中,综合分析考虑了3D交互技术,语音识别和合成技术,自然语言理解和处理技术,眼睛跟踪技术,姿势,输入,触觉,力显示基本技术。实验仿真的结果证明,我们的方法从数据安全性和界面经验两方面都获得了更好的有效性和可行性。

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