NIST · ИТ

CSWP 36D

No SUPI-Based Paging: Applying 5G Cybersecurity and Privacy Capabilities

CSWP 36C

Reallocation of Temporary Identities: Applying 5G Cybersecurity and Privacy Capabilities

CSWP 36B

Using Hardware-Enabled Security to Ensure 5G System Platform Integrity: Applying 5G Cybersecurity and Privacy Capabilities

CSWP 36

Applying 5G Cybersecurity and Privacy Capabilities: Introduction to the White Paper Series

CSWP 36A

Protecting Subscriber Identifiers with Subscription Concealed Identifier (SUCI): Applying 5G Cybersecurity and Privacy Capabilities

SP 1800-42

Digital Identities – Mobile Driver’s License (mDL): Accelerating Development and Adoption of Digital Identity for Financial Institutions

CSWP 37A

Automation of the NIST Cryptographic Module Validation Program: September 2024 Status Report

On the Use of Machine Learning for the Development of an Acoustic-based Detection System for Early-Stage Thermal Runaway

On the Use of Machine Learning for the Development of an Acoustic-based Detection System for Early-Stage Thermal Runaway

The paper presents the development of a multi-class classification model for the detection of early-stage thermal runaway events for button-top single-cell lithium-ion batteries. A signal gate mechanism is introduced to extract relevant acoustic data. A

Guidelines for API Protection for Cloud-Native Systems - March 2026 Update

Guidelines for API Protection for Cloud-Native Systems - March 2026 Update

Modern enterprise IT systems rely on a family of application programming interfaces (APIs) for integration to support organizational business processes. Hence, a secure deployment of APIs is critical for overall enterprise security. This, in turn, requires

SP 800-228

Guidelines for API Protection for Cloud-Native Systems

Challenges to the monitoring of deployed AI systems: Center for AI Standards and Innovation

Challenges to the monitoring of deployed AI systems: Center for AI Standards and Innovation

As artificial intelligence (AI) systems are increasingly integrated into commercial and government applications, there is a growing need to monitor these systems in real-world settings. Although pre-deployment evaluations are valuable for assessing AI

Link-to-System Mapping for 5G NR Sidelink System Simulations

Link-to-System Mapping for 5G NR Sidelink System Simulations

We describe extensions to the Network Simulator version 3 (ns-3) New Radio (NR) sidelink simulator for higher-fidelity packet error models based on an extensive simulation campaign using the National Institute of Standards and Technology (NIST) Fifth

U.S. Election Expert Perspectives on End-to-End Verifiable Voting Systems

U.S. Election Expert Perspectives on End-to-End Verifiable Voting Systems

By using cryptographic techniques, end-to-end verifiable (E2EV) voting systems have been proposed as a way to increase voter trust and confidence in elections by providing the public with direct evidence of the integrity of election systems and outcomes

TREC 2025 Ad-hoc Video Search (AVS) Track Overview

TREC 2025 Ad-hoc Video Search (AVS) Track Overview

Combinatorial Security Testing-10 Years Later

Combinatorial Security Testing-10 Years Later

Ten years ago, we introduced a research program applying high strength combinatorial test methods to vulnerability and fault detection for cybersecurity. This article discusses advances in the field and where these methods may be effective for today's

SP 1800-39

Data Classification Practices

Journal Article

Combinatorial Security Testing—10 Years Later

Application of Artificial Intelligence in Supply Chain Management - Opportunities and Challenges, a Workshop Report

Application of Artificial Intelligence in Supply Chain Management - Opportunities and Challenges, a Workshop Report

Artificial Intelligence (AI) has progressed significantly and impacted various aspects of our daily life. With its strength in prediction, AI is considered a powerful tool for assessing and managing risks because it can take into account a large amount and

Other

[Concept Paper] Accelerating the Adoption of Software and Artificial Intelligence Agent Identity and Authorization

Other 2602.00314v1

On the Assessment of Sensitivity of Autonomous Vehicle Perception

IR 8446

Bridging the Gap Between Standards on Random Number Generation: Comparison of SP 800-90 Series and AIS 20/31

Validating the Timing Performance Improvement from Ionospheric Corrections on Iridium PNT Receivers with STL Time Service that Utilizes only Signals from Low Earth Orbit (LEO) Satellites

Validating the Timing Performance Improvement from Ionospheric Corrections on Iridium PNT Receivers with STL Time Service that Utilizes only Signals from Low Earth Orbit (LEO) Satellites

We present the timing accuracy improvement from ionospheric corrections on Iridium PNT receivers by validating the timing service (STL Time ) against UTC(NIST), the timing reference at the National Institute of Standards and Technology (NIST) in Boulder

Common-view comparison using two Iridium STL (Satellite Time and Location) receivers at national laboratories with a very long baseline

Common-view comparison using two Iridium STL (Satellite Time and Location) receivers at national laboratories with a very long baseline

We compare the outputs of two Satellite Time and Location (STL) low Earth orbit (LEO) receivers in common-view with a very long baseline. By comparing the STL pulse per second (PPS) output to national laboratory timescales at distant locations, we can

Improving Ride Comfort in Automated Vehicles Using V2I Communication at Intersections

Improving Ride Comfort in Automated Vehicles Using V2I Communication at Intersections

As vehicle automation continues to progress towards full autonomy, the potential for increasingly sophisticated interactions between vehicles and traffic infrastructure presents new opportunities and challenges for improving the driving experience. One

SP 800-82 Rev. 4

Pre-Draft Call for Comments: Guide to Operational Technology (OT) Security

IR 8576

Transit Cybersecurity Framework Community Profile

IR 8214C

NIST First Call for Multi-Party Threshold Schemes

Machine Learning Based Forecasting for Building Fires

Machine Learning Based Forecasting for Building Fires

The fast-evolving conditions of rapid fire progressions demand swift and informed decision-making from firefighters. This paper presents a series of research efforts to develop artificial intelligent-driven technologies that provide real-time, actionable

CBRS Sharing Ecosystem Assessment (SEA) Sensor Data Manual

CBRS Sharing Ecosystem Assessment (SEA) Sensor Data Manual

The purpose of the National Advanced Spectrum and Communications Test Network (NASCTN) Citizens Broadband Radio Service (CBRS) Sharing Ecosystem Assessment (SEA) project is to provide data-driven insight into the CBRS sharing ecosystem's effectiveness

Conference Paper

Practical Attack on All Parameters of the HPPC Signature Scheme