NIST · ИТ

CSWP 51

Developing a Transit Cybersecurity Framework Community Profile: Project Update

SP 1318

Protecting Controlled Unclassified Information (CUI): NIST Special Publication 800-171, Revision 3. Small Business Primer

System-Level Calibration of a Millimeter-Wave Vector Signal Analyzer with Uncertainties

System-Level Calibration of a Millimeter-Wave Vector Signal Analyzer with Uncertainties

We describe the system-level calibration of a vector signal analyzer operating in the 28 GHz frequency band, including the determination of uncertainties in the magnitude and phase of measurements of a traceably characterized calibration waveform. We then

Protecting Controlled Unclassified Information (CUI): NIST Special Publication 800-171, Revision 3 Small Business Primer

Protecting Controlled Unclassified Information (CUI): NIST Special Publication 800-171, Revision 3 Small Business Primer

This introductory guide provides small businesses with a high level overview of NIST Special Publication (SP) 800-171 Revision 3, Protecting Controlled Unclassified Information in Nonfederal Systems and Organizations. The document is broken up into two

SP 800-232

Ascon-Based Lightweight Cryptography Standards for Constrained Devices: Authenticated Encryption, Hash, and Extendable Output Functions

SP 1800-43

Genomic Data Threat Modeling

From Traditional Topic Models to LLM Topic Models: Can Large Language Models Replace Traditional Topic Models?

From Traditional Topic Models to LLM Topic Models: Can Large Language Models Replace Traditional Topic Models?

A common use of NLP is to facilitate the understanding of large document collections, with models based on Large Language Models (LLMs) replacing probabilistic topic models. Yet the effectiveness of LLM-based approaches in real-world applications remains

NIST SP 800-63C-4:Digital Identity Guidelines - Federation and Assertions

NIST SP 800-63C-4:Digital Identity Guidelines - Federation and Assertions

This guideline focuses on the use of federated identity and the use of assertions to implement identity federations. Federation allows a given credential service provider to provide authentication attributes and (optionally) subscriber attributes to a

NIST SP 800-63B-4:Digital Identity Guidelines - Authentication and Authenticator Management

NIST SP 800-63B-4:Digital Identity Guidelines - Authentication and Authenticator Management

This guideline focuses on the authentication of subjects who interact with government information systems over networks to establish that a given claimant is a subscriber who has been previously authenticated. The result of the authentication process may

NIST SP 800-63A-4:Digital Identity Guidelines - Identity Proofing and Enrollment

NIST SP 800-63A-4:Digital Identity Guidelines - Identity Proofing and Enrollment

This guideline focuses on identity proofing and enrollment for use in digital authentication. During the process of identity proofing, an applicant provides evidence to a credential service provider (CSP) reliably identifying themselves, thereby allowing

NIST SP 800-63-4: Digital Identity Guidelines

NIST SP 800-63-4: Digital Identity Guidelines

These guidelines cover identity proofing, authentication, and federation of users (such as employees, contractors, or private individuals) interacting with government information systems over networks. They define technical requirements in each of the

SP 800-63C-4

Digital Identity Guidelines: Federation and Assertions

Руководство по цифровой идентификации: аутентификация и управление аутентификаторами

Digital Identity Guidelines: Authentication and Authenticator Management

NIST SP 800-63B-4 устанавливает технические требования к удалённой аутентификации пользователей поставщиками услуг учётных данных (CSP) на трёх уровнях доверия аутентификации (AAL). Документ определяет допустимые типы аутентификаторов, требования к верификаторам, повторной аутентификации, управлению жизненным циклом аутентификаторов и сеансами. Он охватывает, в частности, парольную, однофакторную …

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SP 800-63A-4

Digital Identity Guidelines: Identity Proofing and Enrollment

SP 800-63-4

Digital Identity Guidelines

IR 8579

Developing the NCCoE Chatbot: Technical and Security Learnings from the Initial Implementation

IR 8536

Supply Chain Traceability: Manufacturing Meta-Framework

SP 1800-44

Secure Software Development, Security, and Operations (DevSecOps) Practices

NIST AI Use Scenarios Library: Developing Repeatable AI Evaluations and Metrics

NIST AI Use Scenarios Library: Developing Repeatable AI Evaluations and Metrics

Measurement science for AI evaluations is a growing field. The National Institute of Standards and Technology (NIST) recently conducted a pilot evaluation of generative AI (GAI), specifically large language models (LLMs), in the ARIA (Assessing Risks and

Comparison of Interference Impacts from Synthetic and Real Mobile Phone Signals on COTS Communication Devices

Comparison of Interference Impacts from Synthetic and Real Mobile Phone Signals on COTS Communication Devices

This work provides recommendations for best practices that enable simplified, cost-effective interference testing that incorporates relevant aspects of realistic cellular emissions. Experimental impacts from three broad classes of interference waveforms

SP 800-88 Rev. 2

Guidelines for Media Sanitization

A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look

A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look

The application of large language models to provide relevance assessments presents exciting opportunities to advance IR, NLP, and beyond, but to date many unknowns remain. In this paper, we report on the results of a large-scale evaluation (the TREC 2024

CSWP 39

Considerations for Achieving Cryptographic Agility: Strategies and Practices

2025 NIST GenAI (Pilot): Code Challenge Evaluation Plan

2025 NIST GenAI (Pilot): Code Challenge Evaluation Plan

We are launching a pilot for measuring and evaluating unit tests generated by Artificial Intelligence (AI) for testing elementary python code. This pilot will provide an environment that will facilitate the development and improvement of the abilities of

SP 1334

Reducing the Cybersecurity Risks of Portable Storage Media in OT Environments

LLM-Assisted Relevance Assessments

LLM-Assisted Relevance Assessments

Test collections are information retrieval tools that allow researchers to quickly and easily evaluate ranking algorithms. While test col- lections have become an integral part of IR research, the process of data creation involves significant efforts of

Quasi-Deterministic Channel Propagation Model for Human Sensing: Gesture Recognition Use Case

Quasi-Deterministic Channel Propagation Model for Human Sensing: Gesture Recognition Use Case

We describe a quasi-determinstic channel propagation model for human gesture recognition reduced from real-time measurements with our context aware channel sounder, considering four human subjects and 20 distinct body motions, for a total of 120,000

DETECTION AND CHARACTERIZATION OF DRONES IN URBAN ENVIRONMENT WITH SYNTHETIC APERTURE RADAR IMAGES

DETECTION AND CHARACTERIZATION OF DRONES IN URBAN ENVIRONMENT WITH SYNTHETIC APERTURE RADAR IMAGES

The objective of this paper is to study the radar imaging of a commercial drone (DJI Phantom III) in an artificial urban environment. A 10-GHz frequency modulated continuous wave (FMCW) synthetic aperture radar (SAR) imaging system with a 1.5-GHz bandwidth

Counterfeit IC Detection Using RF Excited Signals and AI-assisted Classification

Counterfeit IC Detection Using RF Excited Signals and AI-assisted Classification

Counterfeit semiconductor devices are a major economic and security threat that can cause losses in multiple economic sectors. This problem's impact on national security is serious and growing because every part of the country, such as the military

Machine Learning for MPC Extraction and False Detection

Machine Learning for MPC Extraction and False Detection

Multipath component (MPC) extraction is critical for channel modeling and joint communications and sensing (JCAS). Super-resolution algorithm known as CLEAN-Space-Alternating Generalized Expectation (CLEAN-SAGE) is widely used for MPC extraction. Because