Reveal false names of accounts as a result of hackers attacks: Security systems with heightened safety of information

The aim of the paper is to reveal false names of accounts as a result of hackers attacks. The probability a given account to be either false or actual is calculated using methods for machine learning analysis. The suspected account will be used as a pattern and by classification techniques clusters will be formed with a respective probability this name to be false. The purpose of investigation is to determine if there exists a trend, which arises during the creation of new accounts, to detect the false ones and to discriminate them from the real ones independently of that if two types of accounts are generated with the same speed. These security systems are applied in different areas, where the security of the data in users' accounts is required. For example, they can be used in on-line voting for balloting, in studying the social opinion by inquiries, in protection of the information in different user accounts of given system etc.