NIST · ИТ

Spanish Translation of the NIST Cybersecurity Framework 2.0

Spanish Translation of the NIST Cybersecurity Framework 2.0

Portuguese Translation of the NIST Cybersecurity Framework 2.0

Portuguese Translation of the NIST Cybersecurity Framework 2.0

Applying graph neural network models to molecular property prediction using high-quality experimental data

Applying graph neural network models to molecular property prediction using high-quality experimental data

Graph neural networks have been successfully applied to machine learning models related to molecules and crystals, due to the similarity between a molecule/crystal and a graph. In this paper, we present three models that are trained with high-quality

SP 1800-36

Trusted Internet of Things (IoT) Device Network-Layer Onboarding and Lifecycle Management: Enhancing Internet Protocol-Based IoT Device and Network Security

Face Analysis Technology Evaluation: Age Estimation and Verification

Face Analysis Technology Evaluation: Age Estimation and Verification

Advancing Methodologies for Hurricane Disaster Research Using Social Media Data

Advancing Methodologies for Hurricane Disaster Research Using Social Media Data

The National Institute of Standards and Technology's (NIST) investigations of disasters and failures that affect the United States including devastating hurricanes like Hurricane Maria (NIST, 2023), require the assessment of risk communication, especially

Terms of Deception: Exposing Obscured Financial Obligations in Online Agreements with Deep Learning (Extended Abstract

Terms of Deception: Exposing Obscured Financial Obligations in Online Agreements with Deep Learning (Extended Abstract

This paper investigates one type of social engineering scam, where unsuspecting users inadvertently consent to hidden financial obligations by performing routine online actions, such as making a purchase. Terms and conditions, often dense and overlooked

Conference Paper

Terms of Deception: Exposing Obscured Financial Obligations in Online Agreements with Deep Learning

Interactive Simulations of Backdoors in Neural Networks

Interactive Simulations of Backdoors in Neural Networks

This work addresses the problem of planting and defending cryptographic-based backdoors in artificial intelligence models. The motivation comes from our lack of understanding and the implications of using cryptographic techniques for planting undetectable

Wireless Deployment Challenges in Construction: A 5G Strategy

Wireless Deployment Challenges in Construction: A 5G Strategy

In the construction context, integrating 5G networks presents numerous challenges. Tiis article explores deploying wireless communication networks within construction projects, introducing a comparison approach to assess deployment difficulty at each

Mathematical Entities: Corpora and Benchmarks

Mathematical Entities: Corpora and Benchmarks

Mathematics is a highly specialized domain with its own unique set of challenges. Despite this, there has been relatively little research on natural language processing for mathematical texts, and there are few mathematical language resources aimed at NLP

Fiscal Year 2023 Cybersecurity and Privacy Annual Report

Fiscal Year 2023 Cybersecurity and Privacy Annual Report

During Fiscal Year 2023 (FY 2023) – from October 1, 2022, through September 30, 2023 –the NIST Information Technology Laboratory (ITL) Cybersecurity and Privacy Program successfully responded to numerous challenges and opportunities in security and privacy

SP 800-229

Fiscal Year 2023 Cybersecurity and Privacy Annual Report

An Infrastructure for Secure Data Sharing: A Clinical Data Implementation

An Infrastructure for Secure Data Sharing: A Clinical Data Implementation

Objective: To address database interoperability challenges to improve collaboration among disparate organizations. Materials and Methods: We developed a lightweight system to allow broad but well-controlled data sharing while preserving local data

Journal Article

An Infrastructure for Secure Data Sharing: A Clinical Data Implementation

Protecting Controlled Unclassified Information in Nonfederal Systems and Organizations

Protecting Controlled Unclassified Information in Nonfederal Systems and Organizations

The protection of Controlled Unclassified Information (CUI) is of paramount importance to federal agencies and can directly impact the ability of the Federal Government to successfully conduct its essential missions and functions. This publication provides

Ensuring Reliability Through Combinatorial Coverage Measures

Ensuring Reliability Through Combinatorial Coverage Measures

A key question in software assurance is, "How much testing is enough?" Coverage criteria such as statement or branch coverage were developed to help answer this question, but we also need to measure whether tests are sufficiently representative of inputs

Assessing Security Requirements for Controlled Unclassified Information

Assessing Security Requirements for Controlled Unclassified Information

The protection of Controlled Unclassified Information (CUI) is of paramount importance to federal agencies and can directly impact the ability of the Federal Government to successfully conduct its essential missions and functions. This publication provides

SP 800-171 Rev. 3

Protecting Controlled Unclassified Information in Nonfederal Systems and Organizations

SP 800-171A Rev. 3

Assessing Security Requirements for Controlled Unclassified Information

A 0.1 GHz to 1.1 THz Inverted Grounded-CPW mTRL Calibration Kit Characterization in an InP HBT Process

A 0.1 GHz to 1.1 THz Inverted Grounded-CPW mTRL Calibration Kit Characterization in an InP HBT Process

We report a novel design approach of on-wafer multiline thru-reflect-line (mTRL) calibration kit fabricated on a commercial semiconductor-based transistor process that we validate from 0.1 GHz to 1.1 THz. The on-wafer calibration standards are designed

On the Impact of TIG Welding Interference on Industrial Wi-Fi Networks: Modeling of Empirical Data and Analytical Studying of Coexistence

On the Impact of TIG Welding Interference on Industrial Wi-Fi Networks: Modeling of Empirical Data and Analytical Studying of Coexistence

The use of IEEE 802.11 Wi-Fi in industrial applications has been enabled by Time-sensitive networking capabilities to achieve deterministic communications within time-critical applications. However, the medium access control (MAC) layer of the IEEE 802.11

An Analytical Evaluation for Software-based TSN in Industrial Wi-Fi Networks

An Analytical Evaluation for Software-based TSN in Industrial Wi-Fi Networks

Time-sensitive networking (TSN) is an emerging topic for the advancement of wireless networking for industrial applications. TSN, as defined under the umbrella of IEEE 802.1 working group standards, addresses issues related to providing deterministic

IR 8498

Cybersecurity for Smart Inverters: Guidelines for Residential and Light Commercial Solar Energy Systems

Rydberg states of alkali atoms in atomic vapor as SI-traceable field probes and communications receivers

Rydberg states of alkali atoms in atomic vapor as SI-traceable field probes and communications receivers

Rydberg states of alkali atoms are highly sensitive to electric fields because their electron wavefunction has a large spatial extent, leading to large polarizabilities for static fields and large transition dipole moments for time-varying fields

Rydberg states of alkali atoms in atomic vapor as SI-traceable field probes and communications receivers

Rydberg states of alkali atoms in atomic vapor as SI-traceable field probes and communications receivers

Rydberg states of alkali atoms are highly sensitive to electric fields because their electron wavefunction has a large spatial extent, leading to large polarizabilities for static fields and large transition dipole moments for time-varying fields

JARVIS-Leaderboard: A Large Scale Benchmark of Materials Design Methods

JARVIS-Leaderboard: A Large Scale Benchmark of Materials Design Methods

Reproducibility and validation are major hurdles for scientific development across many fields. Materials science in particular encompasses a variety of experimental and theoretical approaches that require careful benchmarking. Leaderboard efforts have

Access Control on NoSQL Databases

Access Control on NoSQL Databases

NoSQL database systems and data stores often outperform traditional RDBMS in various aspects, such as data analysis efficiency, system performance, ease of deployment, flexibility/scalability of data management, and users' availability. However, with an

IR 8504

Access Control on NoSQL Databases

Collection Methods for High-SNR I/Q Recordings of FDD LTE User Equipment Emissions

Collection Methods for High-SNR I/Q Recordings of FDD LTE User Equipment Emissions

This report documents collection methods for high signal-to-noise ratio (SNR) in-phase and quadrature (I/Q) radio frequency (RF) recordings of long-term evolution (LTE) uplink emissions from a commercial-off-the-shelf (COTS) handset in a fully conducted