  Industrial Control Systems (ICS) constitute the backbone of contemporary
industrial operations, ranging from modest heating, ventilation, and air
conditioning systems to expansive national power grids. Given their pivotal
role in critical infrastructure, there has been a concerted effort to enhance
security measures and deepen our comprehension of potential cyber threats
within this domain. To address these challenges, numerous implementations of
Honeypots and Honeynets intended to detect and understand attacks have been
employed for ICS. This approach diverges from conventional methods by focusing
on making a scalable and reconfigurable honeynet for cyber-physical systems. It
will also automatically generate attacks on the honeynet to test and validate
it. With the development of a scalable and reconfigurable Honeynet and
automatic attack generation tools, it is also expected that the system will
serve as a basis for producing datasets for training algorithms for detecting
and classifying attacks in cyber-physical honeynets.
