Method of preventing leakage of personal data through eye-tracking modules of user devices

Abstract

At the current stage of technology development, eleven billion records of personal data and payment information were compromised worldwide in 2022 as a result of leaks that became public knowledge, in particular, first and last names, email addresses, phone numbers, passwords, residency information, social security, bank card details and bank account information. Nowadays, with user computer data, personal information about a person can be collected through behavioural habits. Primary identifications by malicious software, such as identification by mouse cursor and sent requests, are already familiar to users and security services of specialized companies. However, the eye movement identification of users is a new and unresolved problem that threatens to cause major losses of personal data in the coming years. Manufacturers, with the exception of clauses in user agreements, do not solve the problem of tracking personal data using new devices. The article presents and analyzes modern eye tracking devices and the guarantee of user anonymity provided by the manufacturers. Proposed solution and method to prevent identity theft at the initial stage of identifying regions of user interest, which used a simulation of the visuomotor system as the horizontal and vertical movements of the human eye relative to a given activation.