Computer worms in control automation systems: Risk dynamics

Abstract

The relevance of the study is due to the increase in recent years, both in Russia and abroad, in the number of computer attacks on production automation systems. One of the most dangerous classes of malware is computer worms. In this regard, this article is aimed at investigating attacks using computer worms on automated systems, assessing the damage received from their implementation and choosing ways to protect against them. As an approach to the study of this problem, methods of rationing and averaging the risk of possible damage from a computer attack are used. The article presents statistics of crimes using computer worms in the USA, China, Russia and the world, short-term forecasts are built. The materials of the article are of practical value for further forecasting of this type of attacks, caused by damage, as well as the choice of ways to counteract them in automation systems.