Cybersecurity

Operating through Compromise

Enhancing Resilience

A motivated, technically-sophisticated cyber attacker will inevitably penetrate a cyber-physical system despite robust security efforts.

LLNL researchers are developing algorithms that allow distributed energy resources (DER) — such as solar inverters and smart meters — to share input data with their neighbors and verify, for example, the voltages of different devices based on known data patterns to determine if they are normal. The underlying method uses "gossip" or update-and-share algorithms to propagate information about network communications from one component to another. Each device then mathematically verifies its neighbors' computations.

Managing DERs through collaborative autonomy also enables grid resilience to extreme weather events and climate change.

Stylized illustration of smart meter displaying energy consumption data.

Program Highlights

Skywing

The Skywing Collaborative Autonomy tool provides a high-reliability, real-time software platform for collaborative autonomy applications for the protection of the nation's critical infrastructure.

Agile Co-Simulation for Cyber Energy System Security (ACCESS)

The ACCESS platform enables the study of cyber-physical critical infrastructure systems. It has a heavy emphasis on systems that use communication networks and enables the understanding of cyber-related impacts on OT systems and networks. 

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The Global Security Directorate at LLNL offers a diverse, collaborative environment where multidisciplinary teams work together to support the Lab’s mission and address a range of global and national security needs. Find impactful careers, talented teams and a great company culture.

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