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A CyberSecurity Monitoring and Threat Hunting System for Protecting Smart Farming System

Smart systems and AI robots play a key role in farming and agriculture, however, there remains a major concern among farmers using smart farming techniques that their cybersecurity is at risk and there is potential for hacking of their systems. In response to this, this project is building techniques and procedures for the detection, analysis, and response to cyberattacks among smart farming systems. Outcomes of these tools will help smart farming system manufacturers to build more resilient systems, increase cybersecurity awareness among farmers, provide the government with an overview of the cyberattack landscape, and advance state-of-the-art detection and forensic examination of smart farming devices.


Principal investigator: Ali Dehghantanha