Выбранные официальные каталоги по ИТ, безопасности, приватности, ИИ и связи.
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Assessing Security and Privacy Controls in Information Systems and Organizations
This publication provides a set of procedures for conducting assessments of security and privacy controls employed within systems and organizations. The assessment procedures, executed at various phases of the system development life cycle, are consistent
Assessing Security and Privacy Controls in Information Systems and Organizations
Personal Identity Verification (PIV) of Federal Employees and Contractors
FIPS 201 establishes a standard for a Personal Identity Verification (PIV) system (Standard) that meets the control and security objectives of Homeland Security Presidential Directive-12 (HSPD-12). It is based on secure and reliable forms of identity
Personal Identity Verification (PIV) of Federal Employees and Contractors
Reverberation Chamber Metrology for Wireless Internet of Things Devices: Flexibility in Form Factor, Rigor in Test
Internet of things (IoT) devices are proliferating in our connected world, with the number of devices expected to exceed 14 billion in 2023 [1] . Wireless IoT applications are increasing day by day, ranging from cellular-enabled parking meters that can
Development and Evaluation of Bluetooth Low-Energy Device for Electronic Encounter Metrics
The coronavirus disease 2019 (COVID-19) pandemic led to the need for tracking of physical contacts and potential exposure to disease. Traditional contact tracing can be augmented by electronic tools called "electronic contact tracing" or "exposure
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography
Limited-angle X-ray tomography reconstruction is an ill-posed inverse problem in general. Especially when the projection angles are limited and the measurements are taken in a photon-limited condition, reconstructions from classical algorithms such as
Guide to Bluetooth Security
Bluetooth wireless technology is an open standard for short-range radio frequency communication used primarily to establish wireless personal area networks (WPANs), and has been integrated into many types of business and consumer devices. This publication
Guide to Bluetooth Security
Welcome to SAMURAI's documentation!
The National Institute of Standards and Technology (NIST) Communication Technology Laboratory (CTL) developed the Synthetic Aperture Measurement with Uncertainties and Angle of Arrival (SAMURAI) millimeter-wave testbed and technique. SAMURAI utilizes a
A Convolutional Neural Networks-Based Approach for Texture Directionality Detection
The perceived texture directionality is an important, not fully explored image characteristic. In many applications texture directionality detection is of fundamental importance. Several approaches have been proposed, such as the fast Fourier-based method
Engineering Trustworthy Secure Systems
Methodology for Characterizing Network Behavior of Internet of Things Devices
Optical Fiber Time Delay Comparison between NIST and LAMETRO
We describe the results of a bilateral measurement comparison of optical fiber time delay between the National Institute of Standards and Technology (NIST, USA) and Laboratorio de Metrología, Instituto Costarricense de Electricidad (LAMETRO-ICE, Costa Rica
Head Rotation Model for VR System Level Simulations
The paper proposes a flexible mathematical time-correlated model, by leveraging experimental data adopted from recent measurements, to describe the head rotation in virtual reality applications. Virtual Reality (VR) promises immersive experience in diverse
Cybersecurity Considerations for Open Banking Technology and Emerging Standards
Blockchain for Access Control Systems
Identifying Tactics of Advanced Persistent Threats with Limited Attack Traces
The cyberworld being threatened by continuous imposters needs the development of intelligent methods for identifying threats while keeping in mind all the constraints that can be encountered. Advanced persistent threats (APT) have become an emerging issue
Identifying Tactics of Advanced Persistent Threats with Limited Attack Traces
NICE Framework Competencies: Assessing Learners for Cybersecurity Work
Developing Cyber-Resilient Systems: A Systems Security Engineering Approach
Secure IPv6-Only Implementation in the Enterprise
On Convergence of the Upper Bound on the Ratio of Gain to Quality Factor
An antenna's practical far-field distance can be estimated from the upper bound on the ratio of its gain to quality factor. This upper bound is an infinite series that can be truncated based on the desired far-field accuracy. We investigate the convergence
Combination Frequency Differencing
Atomistic Line Graph Neural Network for Improved Materials Property Predictions
Graph neural networks (GNN) have been shown to provide substantial performance improvements for atomistic material representation and modeling compared with descriptor-based machine learning models. While most existing GNN models for atomistic predictions
IoT Device Cybersecurity Guidance for the Federal Government: IoT Device Cybersecurity Requirement Catalog
This publication provides a catalog of internet of things (IoT) device cybersecurity capabilities (i.e., features and functions needed from a device to support security controls) and non-technical supporting capabilities (i.e., actions and support needed
IoT Device Cybersecurity Guidance for the Federal Government: Establishing IoT Device Cybersecurity Requirements
Organizations will increasingly use Internet of Things (IoT) devices for the mission benefits they can offer, but care must be taken in the acquisition and implementation of IoT devices. This publication contains background and recommendations to help
IoT Device Cybersecurity Guidance for the Federal Government: Establishing IoT Device Cybersecurity Requirements
IoT Device Cybersecurity Guidance for the Federal Government: IoT Device Cybersecurity Requirement Catalog
Gradient Decomposition Methods for Training Neural Networks with Non-Ideal Synaptic Devices
While promising for high capacity machine learning accelerators, memristor devices have non-idealities that prevent software-equivalent accuracies when used for online training. This work uses a combination of Mini-Batch Gradient Descent (MBGD) to average