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Research

Application of Cyber Security Techniques in the Protection of Efficient Cyber-Physical Energy Generation Systems

 This project is called, "Application of Cyber Security Techniques in the Protection of Efficient Cyber-Physical Energy Generation Systems." In this project, we designed and developed a security monitoring and analysis framework for control systems and smart grid technologies. This system is designed to enhance resiliency of the system by integrating traditional computer security and safety engineering techniques. The goal is to integrate the monitoring and analysis of IP network traffic, as… Read More »

An Automated, Disruption Tolerant Key Management System for the Power Grid

Current key management architectures are not designed for machine-to-machine communication, are designed around an "always online" mentality, and are often burdensome to manage (key distribution, revocation lists, governance, etc.). This project is designing and developing a key management system to meet the unique requirements of electrical distribution systems (EDSs). Namely it is disruption tolerant, scales well, is centrally managed, has policy enforcement and auditing, automates key… Read More »

Inferring Computing Activity Using Physical Sensors

This project involves using power data for monitoring use of computing systems, including supercomputers and large computing centers. By using power data, as opposed to data provided by the computing environment itself, the technology collects the data non-invasively.  More information is available at the LBNL Innovation and Partnerships Office. Read more at the Inferring Computing Activity Using Physical Sensors project website. More information is available on other Berkeley Lab R&D… Read More »

Detecting Distributed Denial of Service Attacks on Wide-Area Networks

The focus of this project is the accurate detection of DDoS attacks on high-throughput, scientific research networks. This project is supported by the US Department of Energy's  iJC3 Cyber R&D program More information on this project is available at the DDoS project web site. More information is available on other LBNL R&D projects focusing on cybersecurity in general, as well as specifically on past HPC Security projects. Read More »

Cybersecurity via Inverter-Grid Automatic Reconfiguration (CIGAR)

Background The proliferation of Distributed Energy Resources (DER) in electric distribution systems is challenging many existing conventional paradigms of how the grid is planned and operated. This includes strategies to ensure the safety of the electric grid from cyber attacks.  Aggregations of DER constitute a mechanism through which hostile entities can remotely influence multiple systems and states in the grid in such a way that distribution system operators have virtually no warning of an… Read More »

DAHLIS

The DALHIS associate team is a collaboration between the Myriads Inria project-team (Rennes, France), Avalon Inria project-team (Lyon, France) and the LBNL Data Science and Technology (DST) department (Berkeley, USA). Data produced by scientific instruments (large facilities like telescopes or field data), large-scale experiments, and high-fidelity simulations are increasing in magnitude and complexity. Existing data analysis methods, tools and infrastructure are often difficult to use and… Read More »

UC-Lab Center for Electricity Distribution Cybersecurity

This project will bring together a multi-disciplinary UC-Lab team of cybersecurity and electricity infrastructure experts to investigate, through both cyber and physical modeling and physics-aware cybersecurity analysis, the impact and significance of cyberattacks on electricity distribution infrastructure.  We will develop new strategies for mitigating vulnerabilities, detecting intrusion, and protecting against detrimental system wide impact. This project will build a new knowledge base to… Read More »

Trusted CI — the National Science Foundation Cybersecurity of Excellence

The mission of Trusted CI — the National Science Foundation Cybersecurity of Excellence — is to improve the cybersecurity of NSF computational science and engineering projects, while allowing those projects to focus on their science endeavors. This project is supported by award # ACI-1547272 the National Science Foundation’s Office of Advanced Cyberinfrastructure. More information on this project is available at the Trusted CI project web site. More information is available on other LBNL… Read More »

Integrated Multi Scale Machine Learning for the Power Grid

The goal of this project is to create advanced, distributed data analytics capability to provide visibility and controllability to distribution grid operators. This project is supported by the U.S. Department of Energy’s Grid Modernization Initiative. Read more at the Power Grid Threat Detection and Grid Analytics project website. More information is available on other Berkeley Lab R&D projects focusing on cybersecurity in general, as well as specifically on cybersecurity for energy… Read More »

NetSage - an open privacy-aware network measurement, analysis, and visualization service

NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to address the needs of today’s international networks. Modern science is increasingly data-driven and collaborative in nature, producing petabytes of data that can be shared by tens to thousands of scientists all over the world. The NSF-supported International Research Network Connection (IRNC) links have been essential to performing these science experiments. More information is available at… Read More »