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Machine-Learning Enabled Cyber Security for ESS
A real-time digital twin of a residential ESS testbed for studying and detecting cyber attacks.
ABOUT
Studying attacks on physical storage systems is slow and costly.
Modern residential energy storage systems (RESS) are monitored and controlled by a cloud-based EMS. Analysing their cyber security is critical for building intrusion detection, but modifying, scaling and replicating a physical RESS for each study is impractical and expensive.
// BUSINESS NEEDS
R&D TEAM
A low-cost model for detecting and analysing cyber attacks on residential ESS.
SOLUTION
01
Real-time digital twin
Smart EMS that runs a real-time digital twin of a physical RESS testbed.
VALUES TO OUR CUSTOMER
✓Real-time RESS monitoring with alerts on abnormal, attacker-like behaviour.
✓Visual notifications so users notice a cyber attack sooner.
[ CONTACT ]
Share your business needs.
We will propose the perfect solution.
Quang Toai Le (William)CEO · DIRECTOR
Request for proposals
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