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作 者:胡晓晔[1]
机构地区:[1]宝鸡文理学院教学设备与实验室管理处,陕西宝鸡721013
出 处:《宝鸡文理学院学报(自然科学版)》2015年第2期39-44,共6页Journal of Baoji University of Arts and Sciences(Natural Science Edition)
摘 要:目的实现针对Android平台下应用种类繁多且更新快的特殊性,设计高性价比的自适应业务识别方案,减少业务识别规则库升级频率。方法通过抓取基于Android平台的智能手机流行软件的业务流量,进行业务识别分析。根据上述业务特征的识别分析,制定智能手机流行软件通用特征提取和识别算法。结果提出了基于新型的移动互联网的业务识别方法,设计了针对Android平台的智能手机通用的业务识别方案,以减少业务识别规则库的升级频率。结论基于应用种类繁多的新型移动互联网,根据提取业务识别特征,编写适用于不同业务的识别脚本,小规模流量的测试结果显示具有较高的精确度。Objective--To design a self-adaptive and cost-effective service identification program for the purpose of reducing the update frequency of the rule base as a result of the wide range and frequent updates of Android applications. Methods--By analyzing the network traffic of popular services on Android platform and extracting the signature of each service, the adaptive and automatic signature extraction and service identification algorithm for the Android platform was developed herein. Re- sults--A business recognition method was put forward on the basis of mobile Internet model, and a general business identification scheme was designed for intelligent mobile phone with Android plat- form with the view of reducing the upgrade frequency of service identification rules library. Conclu- sion-The innovation identifies services in the newly-developed mobile internet, where services are va- rious and frequently-updated. Based on the extracted signatures, identification scripts applicable to all kinds of services are presented herein.
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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