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HPC CYBERSECURITY

Description:

Please Note that a Letter of Intent is due Tuesday, September 06, 2016

Program Area Overview

Office of Advanced Scientific Computing Research

The primary mission of the Advanced Scientific Computing Research (ASCR) program is to discover, develop, and deploy computational and networking capabilities to analyze, model, simulate, and predict complex phenomena important to the Department of Energy. A particular challenge of this program is fulfilling the science potential of emerging computing systems and other novel computing architectures, which will require numerous significant modifications to today's tools and techniques to deliver on the promise of exascale science. To accomplish this mission, ASCR funds research at public and private institutions and at DOE laboratories to foster and support fundamental research in applied mathematics, computer science, and high-performance networks. In addition, ASCR supports multidisciplinary science activities under a computational science partnership program involving technical programs within the Office of Science and throughout the Department of Energy.

ASCR also operates high-performance computing (HPC) centers and related facilities, and maintains a high-speed network infrastructure (ESnet) at Lawrence Berkeley National Laboratory (LBNL) to support computational science research activities. The HPC facilities include the Oak Ridge Leadership Computing Facility (OLCF) at Oak Ridge National Laboratory (ORNL), the Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory (ANL), and the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (LBNL).

ASCR supports research on applied computational sciences in the following areas:

- Applied and Computational Mathematics - to develop the mathematical algorithms, tools, and libraries to model complex physical and biological systems.

- High-performance Computing Science - to develop scalable systems software and programming models, and to enable computational scientists to effectively utilize petascale computers to advance science in areas important to the DOE mission.

- Distributed Network Environment - to develop integrated software tools and advanced network services to enable large-scale scientific collaboration and make effective use of distributed computing and science facilities in support of the DOE science mission.

- Applied Computational Sciences Partnership - to achieve breakthroughs in scientific advances via computer simulation technologies that are impossible without interdisciplinary effort.

For additional information regarding the Office of Advanced Scientific Computing Research priorities, click here.


3. HPC CYBERSECURITY


 Maximum Phase I Award Amount: $225,000

Maximum Phase II Award Amount: $1,500,000

Accepting SBIR Applications: YES

Accepting STTR Applications: YES


Large scale distributed and computationally intensive platforms, systems, centers, infrastructure, facilities or applications rely on High Performance Computing (HPC) systems to enable large scale information processing for a multitude of areas such as business, utility, financial, education, scientific, and critical national infrastructure systems that form the backbone of our nation’s economy, security, and health. HPC facilities, centers, infrastructure, or resources are designed to be easily accessible by users over the worldwide network, and ensuring effective cybersecurity monitoring, situational awareness, logging, reporting, preventions, remediation, etc, is an increasingly important task.

Grant applications are sought in the following subtopics:

 a. Cybersecurity Technologies

This topic solicits unclassified proposals that will deliver and market commercial products ensuring effective and practical cybersecurity for HPC systems, centers, large scale distributed applications, critical infrastructure, or user facilities. These tools will have the capability to detect, prevent, or analyze attempts to compromise or degrade systems or applications consequently increasing their cybersecurity. Any submitted proposal must be unclassified.

Relevant evaluation metrics may include delivery of potential solutions involving minimizing the overall security overhead required to deal with data parallelism, concurrency, storage and retrieval, hardware heterogeneity, and how to monitor, visualize, categorize, or report cybersecurity challenges effectively. Currently, there exist cybersecurity tools and products that provide security to networks, databases, hosts, clouds, or mobile devices; and some of these existing tools and products could potentially be enhanced or transitioned to help secure HPC, facilities, infrastructure, or large scale distributed systems.

Out of scope proposals for this topic include proposals that do not address the range of desired products mentioned in this specific topic or are primarily focused on: Single node/host-, handheld-, and wireless-based solutions; internet; internet-of-things; basic research; natural language processing; social networks; or encryption.

Questions – Contact Robinson Pino, robinson.pino@science.doe.gov

 b. Other

In addition to the specific subtopic listed above, the Department invites grant applications in other areas that fall within the scope of the topic description above.

Questions – Contact Robinson Pino, robinson.pino@science.doe.gov

 References:

1.     Department of Energy, 2015, The 2015 Cybersecurity for Scientific Computing Integrity Workshop, DOE Workshop Report. (http://science.energy.gov/~/media/ascr/pdf/programdocuments/docs/ASCR_Cybersecurity_For_Scientific_Computing_Integrity_Report_2015.pdf)

2.     Campbell, S., Mellander, J., 2015, Experiences with Intrusion Detection in High Performance Computing, p. 9. (https://cug.org/5-publications/proceedings_attendee_lists/CUG11CD/pages/1-program/final_program/Monday/03B-Mellander-Paper.pdf)

3.     Malin, A.B., Van Heule, G.K, 2013, Continuous Monitoring and Cyber Security for High Performance Computing, Report LA-UR-13-21921. (http://permalink.lanl.gov/object/tr?what=info:lanl-repo/lareport/LA-UR-13-21921)

4.   Catlett, C., 2008, A Scientific Research and Development Approach To Cyber Security, Final Report Submitted to the Department of Energy, p. 36. (http://science.energy.gov/~/media/ascr/pdf/program-documents/docs/Cyber_security_science_dec_2008.pdf) 

 

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