NIST · ИТ

IR 8235

Security Guidance for First Responder Mobile and Wearable Devices

It's the Company, the Government, You and I: User Perceptions of Responsibility for Smart Home Privacy and Security

It's the Company, the Government, You and I: User Perceptions of Responsibility for Smart Home Privacy and Security

Smart home technology exposes adopters to increased risk to network security, information privacy, and physical safety. However, users may lack understanding of the privacy and security implications. Additionally, manufacturers often fail to provide

Can you tell? SSNet - a Sagittal Stratum-inspired Neural Network Framework for Sentiment Analysis

Can you tell? SSNet - a Sagittal Stratum-inspired Neural Network Framework for Sentiment Analysis

When people try to understand nuanced language they typically process multiple input sensor modalities to complete this cognitive task. It turns out the human brain has even a specialized neuron formation, called sagittal stratum, to help us understand

SP 800-55 Rev. 2

PRE-DRAFT Call for Comments: Performance Measurement Guide for Information Security

Other

Can you tell? SSNet - a Sagittal Stratum-inspired Neural Network Framework for Sentiment Analysis

Security and Privacy Controls for Information Systems and Organizations

Security and Privacy Controls for Information Systems and Organizations

This publication provides a catalog of security and privacy controls for information systems and organizations to protect organizational operations and assets, individuals, other organizations, and the Nation from a diverse set of threats and risks

SP 800-53 Rev. 5

Security and Privacy Controls for Information Systems and Organizations

Data Integrity Recovering from Ransomware and Other Destructive Events

Data Integrity Recovering from Ransomware and Other Destructive Events

Businesses face a near-constant threat of destructive malware, ransomware, malicious insider activities, and even honest mistakes that can alter or destroy critical data. These data corruption events could cause a significant loss to a company's reputation

SP 1800-11

Data Integrity: Recovering from Ransomware and Other Destructive Events

Vulnerability trends in web servers and browsers

Vulnerability trends in web servers and browsers

In previous work we have looked at trends in vulnerabilities due to ordinary programming errors [2, 3]. This analysis focuses on two of the most widely used types of software in today's internet, web browsers and web servers. In addition to reports of

Towards Usable Updates for Smart Home Devices

Towards Usable Updates for Smart Home Devices

Smart home device updates are important tools for users to remediate security vulnerabilities and protect devices from future attacks. However, no prior research has been conducted to understand smart home users' perceptions of and experiences with updates

Conference Paper

Towards Usable Updates for Smart Home Devices

Cryptanalysis of LEDAcrypt

Cryptanalysis of LEDAcrypt

We report on the concrete cryptanalysis of LEDAcrypt, a 2nd Round candidate in NIST's Post- Quantum Cryptography standardization process and one of 17 encryption schemes that remain as candidates for near-term standardization. LEDAcrypt consists of a

SP 1800-15

Securing Small Business and Home Internet of Things (IoT) Devices: Mitigating Network-Based Attacks Using Manufacturer Usage Description (MUD)

On the Use of Machine Learning Models to Forecast Flashover Occurrence in a Compartment

On the Use of Machine Learning Models to Forecast Flashover Occurrence in a Compartment

This paper presents a study to examine the potential use of machine learning algorithms to build a model to forecast the likelihood of flashover occurrence for a single-floor multi-room compartment. Synthetic temperature data for heat detectors from

Time Series Feature Extraction and Selection Tool for Fire Data

Time Series Feature Extraction and Selection Tool for Fire Data

This paper aims to facilitate the use of machine learning to carry out supervised classification/regression tasks for time series data in fire research. Specifically, a feature engineering tool, FAST (Feature extrAction and Selection for Time-series), is

Mobile Device Security: Corporate-Owned Personally-Enabled (COPE)

Mobile Device Security: Corporate-Owned Personally-Enabled (COPE)

Mobile devices provide access to vital workplace resources while giving employees the flexibility to perform their daily activities. Securing these devices is essential to the continuity of business operations. While mobile devices can increase efficiency

SP 1800-21

Mobile Device Security: Corporate-Owned Personally-Enabled (COPE)

SP 1800-27

Securing Property Management Systems

Journal Article

Categorizing Human Phishing Detection Difficulty: A Phish Scale

Quality of Service Optimization in Mobile Edge Computing Networks via Deep Reinforcement Learning

Quality of Service Optimization in Mobile Edge Computing Networks via Deep Reinforcement Learning

Mobile edge computing (MEC) is an emerging paradigm that integrates computing resources in wireless access networks to process computational tasks in close proximity to mobile users with low latency. In this paper, we propose an online double deep Q

A Cryogenic Quantum-Based RF Source

A Cryogenic Quantum-Based RF Source

We performed a preliminary calibrated measurement of the output power of a Josephson arbitrary waveform synthesizer up to 1 GHz. We present the results and measurement procedure for generating quantum-based signals using an array of Josephson junctions

SP 800-46 Rev. 3

PRE-DRAFT Call for Comments: Guide to Enterprise Telework Security

SP 1800-31

Improving Enterprise Patching for General IT Systems: Utilizing Existing Tools and Performing Processes in Better Ways

Evaluating Uncertainty of Nonlinear Microwave Calibration Models with Regression Residuals

Evaluating Uncertainty of Nonlinear Microwave Calibration Models with Regression Residuals

We use synthetic data to investigate the performance of a recently developed algorithm that uses regression residuals to evaluate the uncertainty of nonlinear multivariate microwave calibration models. We verify the results with measurements.

CSWP 16

Trusted Internet of Things (IoT) Device Network-Layer Onboarding and Lifecycle Management

Online VM Auto-Scaling Algorithms for Application Hosting in a Cloud

Online VM Auto-Scaling Algorithms for Application Hosting in a Cloud

We consider the auto-scaling problem for application hosting in a cloud, where applications are elastic and the number of requests changes over time. The application requests are serviced by Virtual Machines (VMs), which reside on Physical Machines (PMs)

A NEIGHBORHOOD-BASED NEURAL NETWORK FOR MELT POOL PREDICTION AND CONTROL

A NEIGHBORHOOD-BASED NEURAL NETWORK FOR MELT POOL PREDICTION AND CONTROL

One of the most prevalent additive manufacturing processes, the powder bed fusion process, is driven by a moving heat source that melts metals to build a part. This moving heat source, and the subsequent formation and moving of a melt pool, plays an

Journal Article

Parallel Device-Independent Quantum Key Distribution

Other

Annotated Outline: Cybersecurity Profile for the Responsible Use of Positioning, Navigation, and Timing (PNT) Services