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JPEG 2000 CODEC Certification Guidance for 1000 ppi Fingerprint Friction Ridge Imagery
The document describes the procedure by which applications of JPEG 2000 CODECs will be evaluated with respect to conformance to the NIST guidance for compression of 1000 ppi friction ridge images as detailed in NIST Special Publication 500-289 [NIST3]. The
PRE-DRAFT Call for Comments: Implementing the HIPAA Security Rule
Cyber Supply Chain Risk Management Practices for Systems and Organizations
Getting Ready for Post-Quantum Cryptography: Exploring Challenges Associated with Adopting and Using Post-Quantum Cryptographic Algorithms
Cryptographic technologies are used throughout government and industry to authenticate the source and protect the confidentiality and integrity of information that we communicate and store. The paper describes the impact of quantum computing technology on
Getting Ready for Post-Quantum Cryptography: Exploring Challenges Associated with Adopting and Using Post-Quantum Cryptographic Algorithms
Assessing Enhanced Security Requirements for Controlled Unclassified Information
Deep Representation Learning for Process Control in Laser Additive Manufacturing
Laser Powder Bed Fusion (LPBF) is an additive manufacturing process where laser power is applied to fuse the spread powder and fabricate industrial parts in a layer by layer fashion. Despite its great promise in fabrication flexibility, print quality has
PRE-DRAFT Call for Comments: Guide to Industrial Control Systems (ICS) Security
Securing the Industrial Internet of Things: Cybersecurity for Distributed Energy Resources
Optoelectronic Intelligence
To design and construct hardware for general intelligence, we must consider principles of both neuroscience and very-large-scale integration. For large neural systems capable of general intelligence, the attributes of photonics for communication and
Generative Adversarial Network Performance in Low-Dimensional Settings
A generative adversarial network (GAN) is an artificial neural network with a distinctive training architecture, designed to create examples that faithfully reproduce a target distribution. GANs have recently had particular success in applications
Neural Networks for Classifying Probability Distributions
Probability distribution fitting of an unknown stochastic process is an important preliminary step for any further analysis in science or engineering. However, it requires some background in statistics and prior considerations of the process or phenomenon
A Historical and Statistical Study of the Software Vulnerability Landscape
Understanding the landscape of software vulnerabilities is key for developing effective security solutions. Fortunately, the evaluation of vulnerability databases that use a framework for communicating vulnerability attributes and their severity scores
A Historical and Statistical Study of the Software Vulnerability Landscape
Considerations for Digital Twin Technology and Emerging Standards
Validating the quality of millimeter-wave images input to deep-learning-based threat detection systems
Deep-learning-based automatic image decision systems are increasingly being relied on to interpret imagery that was previously only viewed and analyzed by humans. Here, we present a real-time method of validating the quality of images input to image
Psychological Foundations of Explainability and Interpretability in Artificial Intelligence
Combinatorial Testing Metrics for Machine Learning
This short paper defines a combinatorial coverage metric for comparing machine learning (ML) data sets and proposes the differences between data sets as a function of combinatorial coverage. The paper illustrates its utility for evaluating and predicting
Challenge Design and Lessons Learned from the 2018 Differential Privacy Challenges
The push for open data has made a multitude of datasets available enabling researchers to analyze publicly available information using various statistical and machine learning methods in support of policy development. An area of increasing interest that is
Automation of the Cryptographic Module Validation Program (CMVP)
Combinatorial Testing Metrics for Machine Learning
Characterizing LTE User Equipment Emissions Under Closed-Loop Power Control
This report presents a laboratory-based characterization of Long Term Evolution (LTE) User Equipment (UE) emissions under closed-loop power control, building on our prior work (NIST TN 2069), which assessed the impact of a large number of factors affecting
P-Flash - A Machine Learning-based Model for Flashover Prediction using Recovered Temperature Data
Research was conducted to examine the use of Support Vector Regression (SVR) to build a model to forecast the potential occurrence of flashover in a single-floor, multi-room compartment fire. Synthetic temperature data for heat detectors in different rooms
Recovering the Key from the Internal State of Grain-128AEAD
Grain-128AEAD is one of the second-round candidates of the NIST lightweight cryptography standardization process. There is an existing body of third-party analysis on the earlier versions of the Grain family that provide insights on the security of Grain
Recovering the Key from the Internal State of Grain-128AEAD
NIST Test Personal Identity Verification (PIV) Cards Version 2
In order to facilitate the development of applications and middleware that support the Personal Identity Verification (PIV) Card, NIST has developed a set of test PIV Cards and a supporting public key infrastructure (PKI). This set of test cards includes
NIST Test Personal Identity Verification (PIV) Cards Version 2
New Practical Multivariate Signatures from a Nonlinear Modifier
Referencia basica de las capacidades de ciberseguridad de los dispositivos de IoT
Las capacidades de ciberseguridad de dispositivo son características o funciones de ciberseguridad que los dispositivos informáticos proporcionan por sus propios medios técnicos (es decir, el hardware y el software del dispositivo). Esta publicación define
Linha de Base do Nucleo de Recursos de Ciberseguranca de Dispositivos IoT
Os recursos de cibersegurança dos dispositivos são funções que os dispositivos de computação fornecem através dos seus próprios meios técnicos (ex: hardware e software do dispositivo). Esta publicação define uma linha de base dos recursos de cibersegurança