自适应复杂互联网内容过滤方法

V. Kaptur, Oleksandr Kniaziev
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引用次数: 0

摘要

研究了复杂互联网过滤系统中uri的自适应过滤方法。这种方法减少了平均请求的处理时间。研究了自适应复杂网络过滤系统的算法。考虑了确定输入请求处理总时间和计算平均延迟时间的数学模型。考虑了基于本文所述算法的“代理拦截器”软件。该软件具有更好的内容过滤质量,通过优化过滤流程,减少了对用户请求的处理时间。考虑了互联网中自适应内容过滤过程的仿真模型,该模型可以量化自适应过滤在实际系统中的实施效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method of adaptive complex Internet content filtering
The method of adaptive filtering of Unique Resource Identifiers (URIs) in the complex Internet filtering systems is considered. This method reduces the average request’ processing time. The algorithm of the adaptive complex system of filtering unwanted content on the Internet is considered. The mathematical models of determining the total time of processing the input request and calculating the average delay time are considered. The software "Proxy Blocker" that is based on the algorithms that is described in this paper are considered. This software has a better quality of content filtering, and by optimizing the filtration process, it reduces the processing time for user requests. Simulation model of adaptive content filtering processes in the Internet that can quantify the effect of the implementation of adaptive filtering in real systems is considered.
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