Model for vulnerabilities detection in unmanned vehicle interfaces based on artificial immune systems

Abstract

The development of artificial intelligence and unmanned vehicles built on the basis of artificial intelligence use requires paying great attention to information security issues. For this purpose, we propose the use of the artificial immune system apparatus as a heuristic method for detecting incidents of intrusion into the unmanned vehicles security infrastructure, where the information security plays a special role in the channels of information exchange. In this paper, we study mathematical models of immune response enhancement of artificial immune system, which are systems of ordinary differential equations. For the first time, it was proposed to consider the degree of damage to the unmanned vehicles resource (s), and, as a result, their ability to effectively perform protective functions; to consider unmanned vehicles virus attacks as a multiplicative function; to accumulate an antivirus database ahead of time to improve the effectiveness of anti-virus measures.