基于移动网络信息安全的内容过滤技术的研究
发布时间：2018-12-17 14:12
【摘要】：随着经济的发展,我们逐渐步入了信息时代。可以说信息无时无刻不在影响着我们的生活,互联网更是我们生活各个方面都需要的工具。然而它们在给我们的生活注入新鲜和活力的同时,也带来了许多负面的东西。这就要求相关部门做好信息监测工作,对网络信息进行严格筛选,这样一来,既保护了互联网群众的隐私,又净化了网络环境,让人们能做到开心上网。但如何才能做到这点呢?本文根据网络监测方法的原理,然后通过分析非法网络信息的特征,结合移动网络中增量式信息的分类和统计方法,提出一种基于文本内容的混合过滤模型和算法。同时,把信息过滤系统和信息推送技术联合起来,进而提高信息过滤的效果以及相应的价值。本文的主要技术路线是依据对移动网络中信息安全的分类分析,结合对基于网络信息文本内容分析的混合过滤模型的研究,提出相应的解决算法,从而实现预先设定的研究目的。对传统的过滤模型布尔模型、概率推理模型和向量空间模型以及信息过滤方法做了分类比较。在此基础上开发出一个以向量空间模型为基础的移动网络内容过滤系统模型。接着对此过滤系统从系统框架做了原理分析,随后详细介绍了中文分词、特征提取与权值计算、用户需求与阈值初始化、过滤匹配和用户反馈模块的原理和实现过程。最后生成空间向量模型以及完成过滤算法的设计。以查全率、查准率和正确率为指标通过实验证明本系统在文本过滤方面有很好的效果。最后简单介绍了移动网络的推送技术,并对全文作了总结和展望。
[Abstract]:With the development of economy, we have gradually stepped into the information age. It can be said that information affects our lives all the time, and the Internet is a tool we need in all aspects of our lives. However, they bring a lot of negative things to our life while infusing them with freshness and vitality. This requires relevant departments to do a good job of information monitoring, the strict screening of network information, which not only protects the privacy of the Internet masses, but also purifies the network environment, so that people can be happy to surf the Internet. But how can this be done? According to the principle of network monitoring method and by analyzing the characteristics of illegal network information and combining the classification and statistics of incremental information in mobile network, a mixed filtering model and algorithm based on text content is proposed in this paper. At the same time, the information filtering system and information push technology are combined to improve the effect and value of information filtering. The main technical route of this paper is based on the classification and analysis of information security in mobile network, combined with the research of hybrid filtering model based on network information text content analysis, the corresponding solution algorithm is put forward. In order to achieve the predefined research purpose. The traditional Boolean model, probabilistic reasoning model, vector space model and information filtering method are classified and compared. On this basis, a mobile network content filtering system model based on vector space model is developed. Then the principle of the filtering system is analyzed from the system framework, and then the principle and implementation process of Chinese word segmentation, feature extraction and weight calculation, user requirement and threshold initialization, filter matching and user feedback module are introduced in detail. Finally, the space vector model is generated and the filtering algorithm is designed. With recall, precision and accuracy as indicators, the system is proved to be effective in text filtering through experiments. Finally, the push technology of mobile network is briefly introduced, and the full text is summarized and prospected.
【学位授予单位】：华东理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN915.08
本文编号：2384298
[Abstract]:With the development of economy, we have gradually stepped into the information age. It can be said that information affects our lives all the time, and the Internet is a tool we need in all aspects of our lives. However, they bring a lot of negative things to our life while infusing them with freshness and vitality. This requires relevant departments to do a good job of information monitoring, the strict screening of network information, which not only protects the privacy of the Internet masses, but also purifies the network environment, so that people can be happy to surf the Internet. But how can this be done? According to the principle of network monitoring method and by analyzing the characteristics of illegal network information and combining the classification and statistics of incremental information in mobile network, a mixed filtering model and algorithm based on text content is proposed in this paper. At the same time, the information filtering system and information push technology are combined to improve the effect and value of information filtering. The main technical route of this paper is based on the classification and analysis of information security in mobile network, combined with the research of hybrid filtering model based on network information text content analysis, the corresponding solution algorithm is put forward. In order to achieve the predefined research purpose. The traditional Boolean model, probabilistic reasoning model, vector space model and information filtering method are classified and compared. On this basis, a mobile network content filtering system model based on vector space model is developed. Then the principle of the filtering system is analyzed from the system framework, and then the principle and implementation process of Chinese word segmentation, feature extraction and weight calculation, user requirement and threshold initialization, filter matching and user feedback module are introduced in detail. Finally, the space vector model is generated and the filtering algorithm is designed. With recall, precision and accuracy as indicators, the system is proved to be effective in text filtering through experiments. Finally, the push technology of mobile network is briefly introduced, and the full text is summarized and prospected.
【学位授予单位】：华东理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN915.08
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