Semantic analysis for information and communication threats detection of online service users

Abstract

This paper deal with the actual task of semantic analysis for information and communication threats detection of online service users. The increasing popularity of new Internet technology trends within common Internet social communication areas create information and communication threats for users. Therefore, generating of new and adaptation to existing identification methods of all dangerous threats are crucial tasks. Identification of those threats allows determining the ways of their avoiding. The computer and lingual analysis of content, users’ accounts personal data authentication, consolidation and analysis of users’ information tracks and their communication behavioral models in the Internet social areas allows the identification of modern information and communication threats. The existing research methods have fragmentary problem solving and theoretical character. The results of such researches generally are not practically tested. The integrated approach to the detection of dangerous threats that make negative impact on internet users is the basis for generating the information and communication threats countermeasures. The prospective users of developed methods and means are: the owners and developers of technical instruments for social areas organization; the owners of internet-portals; PR specialists; security services and law enforcement agencies officers; mass media and public safety agencies; politicians, journalists, marketing specialists, advertisers, sociologists, psychologists, scientists, and the average users of internet communication areas.