多媒体网络不完整信息多层过滤方法仿真

Simulation of Intercepting Method for High Density Transmission Information of Internet

对多媒体网络不完整信息进行多层过滤,能够有效保证多媒体网络的健康运行状态。对不完整信息的多层过滤,需要并对信号去噪模型进行小波包分解,对不完整信息分解系数进行量化处理,完成对不完整信息的多层过滤。传统方法将部分信息包保存至数据库,通过对网络传输信息的侦听,求取信息分解系数,但忽略了对其的量化处理,导致过滤效果不理想。提出利用TOP-K实现传输信息多层过滤方法。通过最优小波包基对传输的信息信号进行去噪,建立信号噪声模型,并对该信号进行小波包分解,选出最优的小波包基,根据不同的阈值选择法,实现分解系数的量化。设计适合的单元格,并统计单元格和其邻域内的信息点数量;将统计结果填入相应单元格中,通过所建列表的特性,达到提高不完整信息高精度多层过滤。实验表明,上述方法提高了不完整信息多层过滤的准确性,对多媒体网络的入侵防御有着重要作用。

Multilevel filtering of incomplete information in multimedia network can effectively guarantee the healthy running of multimedia network. Traditional methods ignore the quantitative processing of information packet, resulting in the un - ideal filtering effect. Therefore, a multilevel filtering method of transmission information based on TOP - K was proposed. The information signal was de - noised through optimal wavelet packet basis and the signal noise model was established. Moreover, the wavelet packet decomposition was used for this signal and the optimal wavelet packet basis was selected. According to different threshold selection methods, the quantization of decomposition coefficient was realized. In addition, suitable cells were designed and the number of information points in cells and neighborhood was counted. Finally, the statistical result was filled in corresponding cells. Through the characteristic of list, the high precision multilevel filtering of incomplete information was achieved. Simulations prove that the proposed method improves the accuracy of multilevel filtering of incomplete information and plays an important role in intrusion prevention of multimedia network.