【摘要】 对大数据移动终端网络信息传输安全问题的研究,能够有效提高移动终端运行稳定性。移动终端网络信息的安全性传输,需要先检测移动终端网络信息的统计量,进而计算出信息可信度取值的阈值区间,完成信息的安全传输。传统方法选取传输信息固定阈值,对移动终端网络信息的质量阈值区间进行获取,但没有对信息的可信度区间进行求取,导致所传输信息质量偏低。提出基于自回归模型与变异算子相结合的传输方法,计算大数据移动终端网络信息的自回归模型,采用最小二乘法估计回归系数;将局部的移动终端网络信息看作是统计学上的近似平稳,以滑动窗口的形式检测移动终端网络信息的统计量,并计算其取值的阈值区间,完成对移动终端网络信息的传输。实验证明所提方法有效提高了移动终端信息质量,去除了不良信息对终端安全性的影响,且上述方法的实用性较强,精度也更高。更多还原

【Abstract】 In this article,a transmission method combining autoregressive model with mutation operator was proposed. Firstly,the autoregressive model of network information in big data mobile terminal was calculated. Then,the least squares method was used to estimate regression coefficient. Statistically,the local network information of mobile terminal was regarded as the approximate stationary. Finally,the statistics of mobile terminal network information was detected in the form of sliding window,and the threshold interval was calculated,so as to complete the transmission of network information in mobile terminal. Simulation results show that the proposed method effectively improves the information quality of mobile terminals and removes the influence of bad information on terminal security. The above method has high practicability and precision.更多还原