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Deep Learning-Based Intrusion Detection With Adversaries
Deep neural networks have demonstrated their effectiveness in most machine learning tasks, with intrusion detection included. Unfortunately, recent research found that deep neural networks are vulnerable to adversarial examples in the image classification
Towards Managing Age of Network State Information in Challenged Networks
Age of Information (AoI) is a recently introduced metric for freshness of the real-time information, which requires frequent updates. This paper argues that AoI is useful not only for real-time network applications, but also for network state information
Superconducting optoelectronic networks III: synaptic plasticity
As a means of dynamically reconfiguring the synaptic weight of a superconducting optoelectronic loop neuron, a superconducting flux storage loop is inductively coupled to the synaptic current bias of the neuron. A standard flux memory cell is used to
Recommendation for Key Establishment Using Symmetric Block Ciphers
2017 NIST/ITL Cybersecurity Program Annual Report
Pseudo-exhaustive Verification of Rule Based Systems
Rule-based systems are important in application domains such as artificial intelligence and business rule engines, as well as formal methods for software design. When translated into an implementation, simple expressions in rules may map to thousands of
Pseudo-exhaustive Verification of Rule Based Systems
Guidelines for the Use of PIV Credentials in Facility Access
Machine learning modeling of superconducting critical temperature
Superconductivity has been the focus of enormous research effort since its discovery more than a century ago. Yet, some features of this unique phenomenon remain poorly understood; prime among these is the connection between superconductivity and chemical
No Phishing beyond This Point
As phishing continues to evolve, what is your organization doing to stay off the hook?
The Evolution of Expressing and Exchanging Cyber-investigation Information in a Standardized Form
NIST Big Data Interoperability Framework: Volume 9, Adoption and Modernization
The potential for organizations to capture value from Big Data improves every day as the pace of the Big Data revolution continues to increase, but the level of value captured by companies deploying Big Data initiatives has not been equivalent across all
NIST Big Data Interoperability Framework: Volume 8, Big Data Reference Architecture Interfaces
This document summarizes interfaces that are instrumental for the interaction with Clouds, Containers, and High Performance Computing (HPC) systems to manage virtual clusters to support the NIST Big Data Reference Architecture (NBDRA). The REpresentational
NIST Big Data Interoperability Framework: Volume 7, Big Data Standards Roadmap [Version 2]
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
NIST Big Data Interoperability Framework: Volume 6, Big Data Reference Architecture [Version 2]
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches, and the growth of data is
NIST Big Data Interoperability Framework: Volume 4, Big Data Security and Privacy [Version 2]
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
NIST Big Data Interoperability Framework: Volume 3, Big Data Use Cases and General Requirements [Version 2]
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
NIST Big Data Interoperability Framework: Volume 2, Big Data Taxonomies [Version 2]
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
NIST Big Data Interoperability Framework: Volume 1, Big Data Definitions [Version 2]
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. The growth of data is outpacing scientific and technological advances in data analytics. Opportunities exist with Big Data to
Baseline Tailor
Baseline Tailor is an innovative web application for users of the National Institute of Standards and Technology (NIST) Cybersecurity Framework and Special Publication (SP) 800-53. Baseline Tailor makes the information in these widely referenced
NIST Big Data Interoperability Framework: Volume 4, Security and Privacy Version 2
Baseline Tailor
Putting First Things First – A Model Process for Criticality Analysis
Impact of Sampling and Augmentation on Generalization Accuracy of Microscopy Image Segmentation Methods
Impact of Sampling and Augmentation on Estimated Accuracy of Microscopy Image Segmentation Methods
Sampling and augmentation methods have been widely used to generate sufficiently large numbers of representative training images for supervised segmentation methods, such as convolutional neural networks (CNN). There is a need to understand the impact of
Developing Maintenance Key Performance Indicators from Maintenance Work Order Data
Towards Developing Standardized Usability Evaluation Methodology for Public Safety Communications Technology: A User-Centered Approach
In public safety and homeland security, it is critical to understand technology users primary goals, the characteristics of the users, and the context in which they are operating. New and emerging technologies present opportunities and challenges for
Measuring Ion-Pairing in Buffer Solutions with Microwave Microfluidics
Microwave microfluidics is an emergent technique for characterizing conductivity and permittivity of fluids and has wide-ranging applications in the materials science and biomedical fields. The electrical properties of fluids as a function of frequency can
Impact of Phase Calibration on EVM Measurement Quality
In this paper, the calibrated measurement of wideband modulated signals by mixer-based large-signal network analyzers (LSNAs) will be evaluated, with a focus on the impact of the phase calibration in the measured error vector magnitude (EVM). The
Assessing Security Requirements for Controlled Unclassified Information
The protection of Controlled Unclassified Information (CUI) resident in nonfederal systems and organizations is of paramount importance to federal agencies and can directly impact the ability of the federal government to successfully conduct its assigned