Projekt per år
Nowadays, the growth of advanced technologies is paving the way for Industrial Control Systems (ICS) and making them more efficient and smarter. However, this makes ICS more connected to communication networks that provide a potential platform for attackers to intrude into the systems and cause damage and catastrophic consequences. In this paper, we propose implementing digital twins that have been equipped with an intrusion detection algorithm. Our novel algorithm is able to detect attacks in a timely manner and also diagnose the type of attack by classification of different types of attacks. With digital twins, which are a new concept in ICS, we have virtual replicas of physical systems so that they precisely mirror the internal behavior of the physical systems. So by placing the intrusion detection algorithm in digital twins, security tests can be done remotely without risking negative impacts on live systems.
|Titel på värdpublikation
|2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
|IEEE - Institute of Electrical and Electronics Engineers Inc.
|Published - 2020
|28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020) - Hvar, Kroatien
Varaktighet: 2020 sep. 17 → 2020 sep. 19
|28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)
|2020/09/17 → 2020/09/19
FingeravtryckUtforska forskningsämnen för ”Intrusion Detection in Digital Twins for Industrial Control Systems”. Tillsammans bildar de ett unikt fingeravtryck.
Ultra-reliable and low-latency networked systems aimed for time-critical services in an Industry 4.0 environment
2019/04/06 → 2024/04/06