Detection of attacks based on known vulnerabilities in industrial networked systems

Vulnerabilities in software and hardware components can be exploited by attackers to cause damages through the cyberspace. Nowadays, this problem also affects a large number of industrial networked systems (INS) and experts are well aware that suitable prevention/detection techniques and countermeasures have to be developed, taking into account INS characteristics and peculiarities. The exposure of a large and complex system to attacks carried out by exploiting well-selected sequences of vulnerabilities can be hard to evaluate, but this is a fundamental step to prevent potential menaces in both the system design and operation phases. This paper deals with an innovative technique, which is able to compute all attack patterns leveraging known vulnerabilities present in an industrial system. The proposed approach is based on the extension of a twofold model, which was successfully developed for verifying the implementation of access control policies in INS. Our solution enables the development of an automated software analyser that can help with the design and maintenance of INS when their security is considered.