eMTD: Energy-Aware Moving Target Defense for Sustainable Solar-powered Sensor-based Smart Farms

Smart farms, as a way for better productivity and efficiency, have yet to be thoroughly studied for their service quality amid cyber threats. This work introduces a proactive security approach, Moving Target Defense (MTD), to the smart farm system to proactively address diverse cyber threats. Specif...

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Bibliographic Details
Published inNOMS 2024-2024 IEEE Network Operations and Management Symposium pp. 1 - 7
Main Authors Chen, Dian, Chen, Ing-Ray, Ha, Dong Sam, Cho, Jin-Hee
Format Conference Proceeding
LanguageEnglish
Published IEEE 06.05.2024
Subjects
Animals
Deep reinforcement learning
Energy states
energy-aware
Monitoring
moving target defense
port hopping
Productivity
Security
Smart agriculture
Smart farm
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Summary:Smart farms, as a way for better productivity and efficiency, have yet to be thoroughly studied for their service quality amid cyber threats. This work introduces a proactive security approach, Moving Target Defense (MTD), to the smart farm system to proactively address diverse cyber threats. Specifically, we develop an energy-aware MTD, termed eMTD, using port hopping for a sustainable smart farm network. Leveraging deep reinforcement learning (DRL), we identify the optimal MTD strategy capable of ensuring high monitoring quality of animal conditions and sufficient energy levels for solar-powered sensors on the farm. Our experiments demonstrate a significant improvement by approximately 15% in monitoring quality and remaining energy compared to other schemes.
ISSN:2374-9709
DOI:10.1109/NOMS59830.2024.10575536