基于人工免疫系统的RFID数据过滤模型研究

Research on RFID data filtering model based on artificial immune systems

为了避免感染计算机病毒或者包含恶意代码等不良信息的电子标签对RFID应用系统运行效率的影响,采用人工免疫系统的多层过滤机制建立了面向RFID数据中不良信息的过滤模型,模型的实施包括数据预处理、多层过滤器的生成与衰亡、过滤器的应用及进化。实验结果表明,该模型有较高的召回率和正确率,这说明了基于人工免疫系统的RFID数据过滤模型具有动态性和自适应强的优点,并为特定领域的信息分类问题解决提供了参考。

To avoid RFID tags which were infected by ill information like computer viruses or baleful codes to impact the efficiency of RFID application systems,this paper proposed a multilayer filtering model.This filtering model was established based on the multilayer filtering mechanism of artificial immune system.In this model,there were four steps,i.e.data pretreatment,the generation and contabescence of multilayer filters,application of filters and the evolution of filters.The simulation results show that the model can get high grade in recall and accuracy of data filtering.This proves that the model possesses the characteristics of dynamic and self-adapting,and it can be expandedly used in information classification in other domains.