An Approach to Intelligent Distributed Scanning and Analytical Processing of the Internet Inappropriate Information

The paper presents a new approach to implementation of intelligent distributed scanning and analytical processing of Web-content for detection of the Internet inappropriate information. The offered architecture of the component of the intelligent distributed scanners eliminates restrictions on capacity and localization of scanners in network by decentralized management of loading. The offered architecture of the component of analytical processing uses a set of the binary qualifiers based on machine learning methods. Experimental assessment of the proposed solutions showed their high efficiency on the classifier training time and on the completeness and the accuracy of inappropriate information detection.