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

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