Intrusion Detection in Digital Twins for Industrial Control Systems

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 dama...

Full description

Saved in:
Bibliographic Details
Main Authors: Akbarian, Fatemeh, Fitzgerald, Emma, Kihl, Maria
Format: Conference Proceeding
Language:English
Subjects:
Classification algorithms
Digital twin
Digital twins
Industrial control
Industrial control systems
Integrated circuits
Intrusion detection
Software
Support vector machines
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1847-358X
DOI:10.23919/SoftCOM50211.2020.9238162