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The intelligent system for detection and counteraction of malicious and inappropriate information on the Internet

机译：智能系统，互联网上的恶意和不恰当信息的检测和抵消

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摘要

The Internet is becoming one of the most significant threats to personal and state information security. Therefore, the identification and counteraction of inappropriate information in global network content become the problem of national importance. The paper presents a new approach to building an intelligent system for identification and counteraction of malicious and inappropriate information on the Internet using artificial intelligence methods, in particular, machine learning and big data processing. The system architecture includes a set of intelligent components for data collection, information objects classification, ensuring the timeliness of analysis, eliminating incompleteness and inconsistency of analysis results, selecting the countermeasures for counteraction, and visualization. The paper presents an experimental evaluation of methods implemented for information object classification in single-threaded and multithreaded modes using various classifiers included in the Scikit-learn and Spark MLlib libraries.
机译：互联网正在成为对个人和国家信息安全最重要的威胁之一。因此，全球网络内容中不恰当信息的识别和抵消成为国家重要性的问题。本文介绍了建立智能系统的新方法，用于使用人工智能方法，特别是机器学习和大数据处理对互联的识别和反作识别的识别和反应。系统架构包括一组用于数据收集的智能组件，信息对象分类，确保分析的时间性，消除分析结果的不完整性和不一致，选择反应的对策，以及可视化。本文介绍了在Scikit-Greatmic中包含的各种分类器中的单线程和多线程模式实现的方法对信息对象分类的方法进行了实验评估。

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