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Computer Security for the Information Grid

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Most existing intrusion detection systems for power grid SCADA systems focus on secure communication. But in the power grid, security means safe and reliable operation – existing systems can’t do this. Our approach, led by Dr. Sean Peisert, integrates a network intrusion detection system (IDS) and simplified physical model to detect malicious command streams–based on Bro IDS technology. » Read More

Collaboration Shines in Materials Project Success

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The Materials Project aims to take the guesswork out of finding the best material for a job—be it a new battery electrode or a lightweight spacecraft body—by making the characteristics of every inorganic compound available to any interested scientist. IDF's Monte Goode and Miriam Brafman are key contributors. » Read More

The Integrated Data Frameworks (IDF) group, led by Dan Gunter, works in a variety of scientific domains, on projects with simulation codes or experimental and sensor data, or both. The group also works with a variety of programming languages (Python, C/C++, JavaScript, IDL, etc.) and software technologies (relational and non-relational databases, workflow engines, streaming data, uncertainty quantification and simulation frameworks, front-end user interface frameworks, etc.).

The common thread between the projects is a focus on providing the user with the tools and capabilities to go from the "raw" data generated by simulations, experiments, and observations, to a combined quality-controlled view of the data that they can easily manipulate to gain scientific insight. Often this process will involve extensive work on "cleaning" and transforming data in custom data pipelines, and often there will also be a strong user interface component to either the pipelines or the final data products.

Overall, our approach is distinguished by a strong focus on usability and user research, early and often in the software design process. We have learned that designing the best systems can only occur when we have the best understanding of the constraints, needs, and culture of the scientists who will use it. The IDF group works closely with the Usable Software Systems group on research and development of user-centerd solutions.

Research Projects

Inferring Computing Activity Using Physical Sensors

  Principal Investigator: Sean Peisert (PI) Scientists/Postdocs Dipankar DwivediReinhard GentzMelissa Stockmah Graduate Student Researcher Bogdan Copos (LBNL/UC Davis; Ph.D. 2017) → SRI International This project involves using power data for…

KBase

The Department of Energy Systems Biology Knowledgebase (KBase) is an open software and data platform that aims to enable researchers to predict and ultimately design biological function. KBase’s unified data model allows users to perform…

AmeriFlux

AmeriFlux datasets provide the crucial linkage between organisms, ecosystems, and process-scale studies at climate-relevant scales of landscapes, regions, and continents, which can be incorporated into biogeochemical and climate models. When viewed…

The Materials Project

The Materials Project is a high-throughput framework developed by MIT and LBNL and subsequently extended by collaborators at the Lawrence Berkeley Laboratory and National Energy Research Scientific Computing (NERSC). This Center, funded by the DOE…

Carbon Capture Simulation Initiative

The CCSI Toolset will accelerate the development and deployment cycle for bringing new Carbon Capture and Storage (CCS) technologies to market. Integrated Data Frameworks (and other Data Science & Technology Department) personnel are leading the…

Cybersecurity for Energy Delivery Systems Research and Development

The Berkeley Lab Data Science and Technology Department is an active participant in a number of projects in the arena of cybersecurity for energy delivery systems.  Recently, this work has been funded largely via DOE OE's Cybersecurity for Energy…

Power Grid Threat Detection and Response with Data Analytics

The goal of this project is to develop technologies and methodologies to protect the nation's power grid from advanced cyber and all-hazard threats. This will be done through the collection of disparate data and the use of advanced analytics to…

Toward a Hardware/Software Co-Design Framework for Ensuring the Integrity of Exascale Scientific Data

  Principal Investigator: Sean Peisert (PI) Senior Personnel Anna Giannakou (LBNL)Hein Meling (LBNL/University of Stavanger) Graduate Students Bogdan Copos (LBNL/UC Davis; Ph.D. 2017) → SRI InternationalAmir Teshome Wonjiga (LBNL/INRIA Rennes)…

Supporting Cyber Security of Power Distribution Systems by Detecting Differences Between Real-time Micro-Synchrophasor Measurements and Cyber-Reported SCADA

The power distribution grid, like many cyber physical systems, was developed with careful consideration for safe operation. However, a number of features of the power system make it particularly vulnerable to cyber attacks via IP networks. "IT…

HPC and Scientific Networking Security

The Data Science and Technology Department is an active participant in a number of projects in the arena of security for scientific, high-performance computing systems and high-bandiwdth research and education networks.  Research sponsors have…

Computer Security Research

The Data Science and Technology Department is an active participant in a number of projects in the arena of computer security.  Research sponsors have included DOE's ASCR program, DOE OE's CEDS program, DOE NNSA, and NSF's SaTC program, among…

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…

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…

Detecting Distributed Denial of Service Attacks on Wide-Area Networks

  Principal Investigator: Sean Peisert (PI) Faculty Scientists Chen-Nee Chuah (UC Davis)Dipak Ghosal (UC Davis) Graduate Students Ross Gegan (UC Davis)Chang Liu (UC Davis) A large scale distributed denial of service (DDoS) attack has the potential…

A Mathematical and Data-Driven Approach to Intrusion Detection for High-Performance Computing

In this project, CRD researchers developed mathematical and statistical techniques to analyze the secure access and use of high-performance computer systems.  The project was funded by the U.S. Department of Energy's Applied Mathematics Section. …

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