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Выбранные официальные каталоги по ИТ, безопасности, приватности, ИИ и связи.

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Effectiveness of dataset reduction in testing machine learning algorithms

Effectiveness of dataset reduction in testing machine learning algorithms

Abstract— Many machine learning algorithms examine large amounts of data to discover insights from hidden patterns. Testing these algorithms can be expensive and time-consuming. There is a need to speed up the testing process, especially in an agile

IR 8272

Impact Analysis Tool for Interdependent Cyber Supply Chain Risks

IR 8006

NIST Cloud Computing Forensic Science Challenges

On Data Integrity Attacks against Industrial Internet of Things

On Data Integrity Attacks against Industrial Internet of Things

Industrial Internet of Things (IIoT) is predicted to drive the fourth industrial revolution through massive interconnection of industrial devices, such as sensors, controllers and actuators, integrating advances in smart machinery and data analytics driven

2019 NIST/ITL Cybersecurity Program Annual Report

2019 NIST/ITL Cybersecurity Program Annual Report

During Fiscal Year 2019 (FY 2019), from October 1, 2018 through September 30, 2019, the NIST Information Technology Laboratory (ITL) Cybersecurity and Privacy Program successfully responded to numerous challenges and opportunities in security and privacy

SP 800-211

2019 NIST/ITL Cybersecurity Program Annual Report

SP 1500-16

Improving Veteran Transitions to Civilian Cybersecurity Roles: Workshop Report

Four Principles of Explainable Artificial Intelligence (Draft)

Four Principles of Explainable Artificial Intelligence (Draft)

We introduce four principles for explainable artificial intelligence (AI) that comprise the fundamental properties for explainable AI systems. They were developed to encompass the multidisciplinary nature of explainable AI, including the fields of computer

SP 800-56C Rev. 2

Recommendation for Key-Derivation Methods in Key-Establishment Schemes

ARES: Automated Risk Estimation in Smart Sensor Environments

ARES: Automated Risk Estimation in Smart Sensor Environments

Industry 4.0 adoption demands integrability, interoperability, composability, and security. Currently, integrability, interoperability and composability are addressed by next-generation approaches for enterprise systems integration such as model-based

Conference Paper

Cryptanalysis of LEDAcrypt

Linking Performance Data and Geospatial Information of Manufacturing Assets through Standard Representations

Linking Performance Data and Geospatial Information of Manufacturing Assets through Standard Representations

Interoperability across emerging visualization modalities, including augmented reality (AR) and virtual reality (VR), remains a challenge with respect to industrial applications. One critical issue relates to the lack of standard approaches for

3D BUILD MELT POOL PREDICTIVE MODELING FOR POWDER BED FUSION ADDITIVE MANUFACTURING

3D BUILD MELT POOL PREDICTIVE MODELING FOR POWDER BED FUSION ADDITIVE MANUFACTURING

Melt pool size is a critical intermediate measure that reflects the outcome of a laser powder bed fusion process setting. Reliable melt pool predictions prior to builds can help users to evaluate potential part defects such as lack of fusion and over

SP 800-207

Zero Trust Architecture

Zero Trust Architecture

Zero Trust Architecture

Zero trust (ZT) is the term for an evolving set of cybersecurity paradigms that move defenses from static, network- based perimeters to focus on users, assets, and resources. A zero trust architecture (ZTA) uses zero trust principles to plan industrial and

Uncertainty of Large-Signal Measurements Under Variable Load Conditions

Uncertainty of Large-Signal Measurements Under Variable Load Conditions

We thoroughly investigate the uncertainty of large-signal measurements when load conditions at the fundamental frequency change. In particular, we evaluate uncertainties of the incident a2 and scattered b2 frequency-domain spectra. They are of particular

IR 8278A

National Cybersecurity Online Informative References (OLIR) Program: Submission Guidance for OLIR Developers

IR 8278

National Cybersecurity Online Informative References (OLIR) Program: Program Overview and OLIR Uses

A Document-based View of the Risk Management Framework

A Document-based View of the Risk Management Framework

Cybersecurity professionals know the Risk Management Framework as a rigorous yet flexible process for managing security risk. But the RMF lacks a document focus, even though much of the process requires authoring, reviewing, revising, and accessing plans

Aggregating Atomic Clocks for Time-Stamping

Aggregating Atomic Clocks for Time-Stamping

A timestamp is a critical component in many applications, such as proof of transaction ordering or analyzing algorithm performance. This paper reports on a method called Verified Timestamping (VT) that improves the standard timestamp protocol. VT was

ITL Bulletin

Security Considerations for Exchanging Files Over the Internet

Conference Paper

Aggregating Atomic Clocks for Time-Stamping

SP 800-53B

Control Baselines for Information Systems and Organizations

SP 800-210

General Access Control Guidance for Cloud Systems

OpenFMB Proof of Concept Implementation Research

OpenFMB Proof of Concept Implementation Research

A smart grid messaging framework is known as an Open Field Message Bus (OpenFMB, which was ratified by the North American Energy Standards Board (NAESB) in March 2016 and has been released as NAESB RMQ.26, Open Field Message Bus (OpenFMB) Model Business

NIST 2020 CTS Speaker Recognition Challenge Evaluation Plan

NIST 2020 CTS Speaker Recognition Challenge Evaluation Plan

Following the success of the 2019 Conversational Telephone Speech (CTS) Speaker Recognition Challenge, which received 1347 submissions from 67 academic and industrial organizations, the US National Institute of Standards and Technology (NIST) will be

TN 2066

OpenFMB Proof of Concept Implementation Research

Systems security assurance as (micro) publishing: Declarative markup for systems description and assessment

Systems security assurance as (micro) publishing: Declarative markup for systems description and assessment

Markup technologies are very general purpose, as reflects their generality of conception. They become interesting as well as useful as they are applied to accomplish goals in the real world. Since principles of generic declarative markup were first applied

Overview of the TREC 2019 Deep Learning Track

Overview of the TREC 2019 Deep Learning Track

The Deep Learning Track is a new track for TREC 2019, with the goal of studying ad hoc ranking in a large data regime. It is the first track with large human-labeled training sets, introducing two sets corresponding to two tasks, each with rigorous TREC

Conference Paper

Systems security assurance as (micro) publishing: Declarative markup for systems description and assessment