• My PhD research is scientific research in the information and computer security field.
• it focused on cybersecurity of control systems of the operation technology field.
• The model is trying to solve the problem of insiders of the Industrial control system network. It is focused mainly on detecting unauthorized changes in the monitored file content of the operator and engineering workstation.
• files content could be changed by a trusted employee or trusted contractor, or neglected operator. It could be done also by any malicious action. This change could be intentionally or unintentionally. This change could be with malicious intent or without. but in the end, this change could have unwanted consequences.
I also built a tool by using python language, which simulates the work to my suggested model and tests it and its success in detection.
I tried to find previous review papers for the trial works to solve the problem of insiders; Compared with those previous studies, The previous studies follow many other ways to solve the problem of insider threats. some research by using a machine learning approach and other approaches which depend on monitoring internal logs and system commands. On the other hand, there are some approaches that try to monitor users’ behaviour and detect any non-normal activities.
As far as I know, I could not find any similar research trying to detect intrusion by monitoring file content.
the problem facing me now is how to validate the work of my model. I could not find any previous model to compare my model to and prove it can make improvements. and what is the parameter that the model enhances?
I need one to help me finish this work.
Please contact me if you understand the problem and you can really help.
you should do a PhD research in the cybersecurity field. the control system is recommended
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I am university professor in Computer Networks and Cybersecurity and cybersecurity expert eith around 50 published papers and one book. Check my science profile under Kire Jakimoski at [login to view URL] and researchgate.