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Title: R&D100 Finalist: Neuromorphic Cyber Microscope

Abstract

The Neuromorphic Cyber Microscope provides security analysts with unprecedented visibility of their network, computer and storage assets. This processor is the world's first practical implementation of neuromorphic technology to a major computer science mission. Working with Lewis Rhodes Labs, engineers at Sandia National Laboratories have created a device that is orders of magnitude faster at analyzing data to identify cyber-attacks.

Authors:
; ;
Publication Date:
Research Org.:
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States); Lewis Rhodes Labs, West Concord, MA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1371556
DOE Contract Number:
AC0494AL85000
Resource Type:
Multimedia
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; SNL; LEWIS RHODES LABS; NEUROMORPHIC; CYBER ATTACKS; CYBER PROCESS; CYBER DATA; CYBER SECURITY; PATTERN RECOGNITION

Citation Formats

Follett, David, Naegle, John, and Suppona, Roger. R&D100 Finalist: Neuromorphic Cyber Microscope. United States: N. p., 2017. Web.
Follett, David, Naegle, John, & Suppona, Roger. R&D100 Finalist: Neuromorphic Cyber Microscope. United States.
Follett, David, Naegle, John, and Suppona, Roger. Tue . "R&D100 Finalist: Neuromorphic Cyber Microscope". United States. https://www.osti.gov/servlets/purl/1371556.
@article{osti_1371556,
title = {R&D100 Finalist: Neuromorphic Cyber Microscope},
author = {Follett, David and Naegle, John and Suppona, Roger},
abstractNote = {The Neuromorphic Cyber Microscope provides security analysts with unprecedented visibility of their network, computer and storage assets. This processor is the world's first practical implementation of neuromorphic technology to a major computer science mission. Working with Lewis Rhodes Labs, engineers at Sandia National Laboratories have created a device that is orders of magnitude faster at analyzing data to identify cyber-attacks.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Mar 21 00:00:00 EDT 2017},
month = {Tue Mar 21 00:00:00 EDT 2017}
}

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