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 anintelligent 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.

中文翻译：

---

互联网上恶意和不适当信息的检测和应对智能系统

互联网正在成为对个人和国家信息安全的最重大威胁之一。因此，全球网络内容中不适当信息的识别和应对成为具有国家重要性的问题。本文提出了一种新的方法，可以使用人工智能方法，特别是机器学习和大数据处理，来构建用于识别和消除Internet上恶意和不适当信息的智能系统。该系统体系结构包括一组用于数据收集，信息对象分类，确保分析的及时性，消除分析结果的不完整和不一致，选择对策的对策和可视化的智能组件。