NIST · ИТ

IR 8214C

NIST First Call for Multi-Party Threshold Schemes

Ballot Definition Common Data Format Specification

Ballot Definition Common Data Format Specification

This publication describes a ballot definition common data format for the interchange of logical and physical ballot style information. It contains a UML (Unified Modeling Language) model of the election data and a JSON (JavaScript Object Notation) and XML

Micro Common Data Format Specification

Micro Common Data Format Specification

This specification describes a data format for space-constrained environments, such as the placement of machine readable data on paper. The specification is responsive to a need for interoperability in several key voting system scenarios in which the use

Self-driving Multimodal Studies at User Facilities

Self-driving Multimodal Studies at User Facilities

Multimodal characterization is commonly required for understanding materials. User facilities possess the infrastructure to perform these measurements, albeit in serial over days to months. In this paper, we describe a unified multimodal measurement of a

Network Security Traffic Analysis Platform - Design and Validation

Network Security Traffic Analysis Platform - Design and Validation

Real-time traffic management and control have become necessary in today's networks due to their complexity and cybersecurity risks. With the increase in internet use, threats are more present and require real-time detection and analysis to prevent

Conference Paper

An Investigation of Roles, Backgrounds, Knowledge, and Skills of U.S. Government Security Awareness Professionals

IEEE 802.11bf DMG Sensing: Enabling High-Resolution mmWave Wi-Fi Sensing

IEEE 802.11bf DMG Sensing: Enabling High-Resolution mmWave Wi-Fi Sensing

IEEE 802.11bf amendment is defining the Wireless Local Area Network (WLAN) sensing procedure, which supports sensing in license-exempt frequency bands below 7 GHz and above 40GHz. In this paper, we examine WLAN sensing in the millimeter wave band, i.e.,

A review of machine learning-based zero-day attack detection: Challenges and future directions

A review of machine learning-based zero-day attack detection: Challenges and future directions

Zero-day attacks exploit unknown vulnerabilities so as to avoid being detected by cybersecurity detection tools. The studies Bilge and Dumitraş (2012), Google (0000) and Ponemon Sullivan Privacy Report (2020) show that zero-day attacks are wide spread and

Journal Article

A Review of Machine Learning-based Zero-day Attack Detection: Challenges and Future Directions

What does the pixel measure?

What does the pixel measure?

The pixel is often used as a unit of measurement in information technology. Unfortunately, there is not a simple, consistently-applicable answer to what it is a measure of. This report analyzes the pixel unit through the lens of metrology and shows how one

5G New Radio Sidelink Link-Level Simulator v1.0

5G New Radio Sidelink Link-Level Simulator v1.0

SP 1288

Federal Cybersecurity Role-Based Training Approaches, Successes, and Challenges

SP 800-217

Guidelines for Personal Identity Verification (PIV) Federation

SP 800-157 Rev. 1

Guidelines for Derived Personal Identity Verification (PIV) Credentials

Photonic Online Learning: A Perspective

Photonic Online Learning: A Perspective

Neuromorphic systems promise to solve certain problems faster and with higher energy efficiency than traditional computing, by using the physics of the devices themselves for information processing. While initial results in photonic neuromorphic hardware

On Migrating ISO 10303 PMI Models to a Common Core

On Migrating ISO 10303 PMI Models to a Common Core

Industrial users of ISO 10303 STandard for the Exchange of Product Model Data (STEP) protocols needed the ability to exchange design product data that is in conformance with recently updated ISO geometric product specification (GPS) standards, the American

Satellite Ground Segment: Applying the Cybersecurity Framework to Satellite Command and Control

Satellite Ground Segment: Applying the Cybersecurity Framework to Satellite Command and Control

Space operations are increasingly important to the national and economic security of the United States. Commercial space's contribution to the critical infrastructure is growing in both volume and diversity of services as illustrated by the increased use

Networked Twins and Twins of Networks: an Overview on the Relationship Between Digital Twins and 6G

Networked Twins and Twins of Networks: an Overview on the Relationship Between Digital Twins and 6G

Digital twin (DT) is a promising technology for the new immersive digital life with a variety of applications in areas such as Industry 4.0, aviation, and healthcare. Proliferation of this technology requires higher data rates, reliability, resilience, and

Fronesis: Digital Forensics-Based Early Detection of Ongoing Cyber-Attacks

Fronesis: Digital Forensics-Based Early Detection of Ongoing Cyber-Attacks

Traditional attack detection approaches utilize predefined databases of known signatures about already-seen tools and malicious activities observed in past cyber-attacks to detect future attacks. More sophisticated approaches apply machine learning to

IR 8401

Satellite Ground Segment: Applying the Cybersecurity Framework to Satellite Command and Control

Project Description

Responding to and Recovering from a Cyber Attack: Cybersecurity for the Manufacturing Sector (Rev. 1)

Dark solitons in Bose-Einstein condensates: a dataset for many-body physics research

Dark solitons in Bose-Einstein condensates: a dataset for many-body physics research

We establish a dataset of over 1.6 x 10^4 experimental images of Bose–Einstein condensates containing solitonic excitations to enable machine learning (ML) for many-body physics research. About 33 % of this dataset has manually assigned and carefully

FIPS 197

Advanced Encryption Standard (AES)

Attacks on ML Systems: From Security Risk Analysis to Attack Mitigation

Attacks on ML Systems: From Security Risk Analysis to Attack Mitigation

The past several years have witnessed rapidly increasing use of machine learning (ML) systems in multiple industry sectors. Since risk analysis is one of the most essential parts of the real-world ML system protection practice, there is an urgent need to

SP 800-63C-4

Digital Identity Guidelines: Federation and Assertions

SP 800-63B-4

Digital Identity Guidelines: Authentication and Lifecycle Management

SP 800-63A-4

Digital Identity Guidelines: Enrollment and Identity Proofing

SP 800-63-4

Digital Identity Guidelines

Monitoring Respiratory Motion with Wi-Fi CSI: Characterizing performance and the BreathSmart Algorithm

Monitoring Respiratory Motion with Wi-Fi CSI: Characterizing performance and the BreathSmart Algorithm

Objective: Respiratory motion (i.e., motion pattern and rate) can provide valuable information in many medical situations. This information may help diagnose different health disorders and diseases. Wi-Fi-based respiratory monitoring schemes utilizing

Conference Paper

Attacks on ML Systems: From Security Analysis to Attack Mitigation