基于代理技术的网络数据流控制模型

Olesia Barkovska, Vitaliy Serdechnyi
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引用次数: 3

摘要

。工作中描述了网络流量控制模型,包括网络中传输的数据挖掘模块,以及基于人工智能方法和手段的进一步合格的数据分析模块,即递归和卷积神经网络。信息安全领域的深入科学研究、大数据智能数据处理工具证明了工作的话题性,限制儿童接触攻击性信息的必要性日益增长,这可能会影响儿童的心理情绪状态。本文重点介绍了代理服务器的开发,用于HTTP查询接收、查找白名单和黑名单中的匹配以及数据合法性决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control model of data stream transmitted over a network based on proxying technology
. Network traffic control model is described in the work, including data mining modules transmitted in the network as well as further qualified data analysis module based on artificial intelligence methods and means, namely recursive and convolutional neural networks. The topicality of work is proved by the intensive scientific research conducted in the field of information security, big data intelligent data processing tools, and stipulated by growing necessity to limit access of children to aggressive information, which can impact on the child’s psychoemotional state. Particular attention is paid in the article to proxy-server development for HTTP query receipt, search for a match in white and black lists and decision making as to data legality.
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