NIST · ИТ

SP 800-140E

CMVP Approved Authentication Mechanisms: CMVP Validation Authority Requirements for ISO/IEC 19790:2012 Annex E and ISO/IEC 24579:2017

SP 800-140D

CMVP Approved Sensitive Parameter Generation and Establishment Methods: CMVP Validation Authority Updates to ISO/IEC 24759:2014(E)

SP 800-140C

CMVP Approved Security Functions: CMVP Validation Authority Updates to ISO/IEC 24759

SP 800-140B

CMVP Security Policy Requirements: CMVP Validation Authority Updates to ISO/IEC 24759 and ISO/IEC 19790 Annex B

SP 800-140A

CMVP Documentation Requirements: CMVP Validation Authority Updates to ISO/IEC 24759

Optical Frequency Comb Generation Utilizing Mach-Zehnder Modulator and Multi-Laser Sources

Optical Frequency Comb Generation Utilizing Mach-Zehnder Modulator and Multi-Laser Sources

Optical Frequency Comb Generation Utilizing Mach-Zehnder Modulator and Multi-Laser Sources

SP 800-57 Part 1 Rev. 5

Recommendation for Key Management: Part 1 – General

Project Description

Improving Cybersecurity of Managed Service Providers (Supporting Small- and Medium-Sized Businesses)

IR 8268

Status Report on the First Round of the NIST Lightweight Cryptography Standardization Process

On Wackers Essential Equation in the Extrapolation Measurement Technique

On Wackers Essential Equation in the Extrapolation Measurement Technique

The generalized three-antenna method is a standard method for measuring on-axis gain and polarization of an antenna without a priori knowledge. The cornerstone of the method is the use of the extrapolation technique and the key relationship in the

IR 8267

Security Review of Consumer Home Internet of Things (IoT) Products

Cybersecurity Framework Manufacturing Profile Low Impact Level Example Implementations Guide: Volume 3 - Discrete-based Manufacturing System Use Case

Cybersecurity Framework Manufacturing Profile Low Impact Level Example Implementations Guide: Volume 3 - Discrete-based Manufacturing System Use Case

This guide provides example proof-of-concept solutions demonstrating how available open-source and commercial off-the-shelf (COTS) products could be implemented in discrete-based manufacturing environments to satisfy the requirements in the Cybersecurity

Cybersecurity Framework Manufacturing Profile Low Impact Level Example Implementations Guide: Volume 2 - Process-based Manufacturing System Use Case

Cybersecurity Framework Manufacturing Profile Low Impact Level Example Implementations Guide: Volume 2 - Process-based Manufacturing System Use Case

This guide provides example proof-of-concept solutions demonstrating how available open-source and commercial off-the-shelf (COTS) products could be implemented in process-based manufacturing environments to satisfy the requirements in the Cybersecurity

Cybersecurity Framework Manufacturing Profile Low Impact Level Example Implementations Guide: Volume 1 - General Implementation Guidance

Cybersecurity Framework Manufacturing Profile Low Impact Level Example Implementations Guide: Volume 1 - General Implementation Guidance

This guide provides general implementation guidance (Volume 1) and example proof-of-concept solutions demonstrating how available open-source and commercial off-the-shelf (COTS) products could be implemented in manufacturing environments to satisfy the

IR 8183A Vol. 3

Cybersecurity Framework Manufacturing Profile Low Impact Level Example Implementations Guide: Volume 3 – Discrete-based Manufacturing System Use Case

IR 8183A Vol. 2

Cybersecurity Framework Manufacturing Profile Low Impact Level Example Implementations Guide: Volume 2 – Process-based Manufacturing System Use Case

IR 8183A Vol. 1

Cybersecurity Framework Manufacturing Profile Low Impact Level Example Implementations Guide: Volume 1 – General Implementation Guidance

Consumer Perceptions of Smart Home Privacy and Security

Consumer Perceptions of Smart Home Privacy and Security

Can deep learning save us and itself from the avalanche of threats in cyberspace?

Can deep learning save us and itself from the avalanche of threats in cyberspace?

I present a computationally efficient and accurate feedforward neural network for sentiment prediction capable of maintaining high transfer accuracy when coupled with an effective semantics model of the text. Experimental results show the advantages of the

Journal Article

Can Deep Learning Save Us and Itself from the Avalanche of Threats in Cyberspace?

SP 800-207

Zero Trust Architecture

SP 1800-23

Energy Sector Asset Management: For Electric Utilities, Oil & Gas Industry

SP 1800-24

Securing Picture Archiving and Communication System (PACS)

The 2018 NIST Speaker Recognition Evaluation

The 2018 NIST Speaker Recognition Evaluation

In 2018, the U.S. national institute of standards and technology (NIST) conducted the most recent in an ongoing series of speaker recognition evaluations (SRE). SRE18 was organized in a similar manner to SRE16, focusing on speaker detection over

An Energy-Aware Retransmission Approach in SWIPT-Based Cognitive Relay Systems

An Energy-Aware Retransmission Approach in SWIPT-Based Cognitive Relay Systems

In this paper cooperative spectrum sharing is considered between a primary user (PU) and a secondary user(SU), where the off-the-grid secondary transmitter (ST) serves as a cognitive relay to forward both the received primary and secondary signals by

Conference Paper

BowTie – A Deep Learning Feedforward Neural Network for Sentiment Analysis

Other

NIST Privacy Framework: A Tool for Improving Privacy Through Enterprise Risk Management

SP 800-160 Vol. 2

Developing Cyber Resilient Systems: A Systems Security Engineering Approach

Towards Fog Network Utility Maximization (FoNUM) for Managing Fog Computing Resources

Towards Fog Network Utility Maximization (FoNUM) for Managing Fog Computing Resources

Fog computing is an emerging architecture, which extends the Cloud computing paradigm to the edge of the network, enabling new applications and services, including Internet of Things (IoT). End users have certain computation tasks, which can be completed

Optimizing the Network Diversity to Improve the Resilience of Networks Against Unknown Attacks

Optimizing the Network Diversity to Improve the Resilience of Networks Against Unknown Attacks

Diversity as a security mechanism is receiving renewed interest due to its potential for improving the resilience of software and networks against previously unknown attacks. Recent works show diversity can be modeled and quantified as a security metric at