SP 800-225
Fiscal Year 2022 Cybersecurity and Privacy Annual Report
Выбранные официальные каталоги по ИТ, безопасности, приватности, ИИ и связи.
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Fiscal Year 2022 Cybersecurity and Privacy Annual Report
Synthetic Data Generation Using Combinatorial Testing and Variational Autoencoder
Data is a crucial component in machine learning. However, many datasets contain sensitive information such as personally identifiable health and financial data. Access to these datasets must be restricted to avoid potential security concerns. Synthetic
Ordered t-way Combinations for Testing State-based Systems
Fault detection often depends on the specific order of inputs that establish states which eventually lead to a failure. However, beyond basic structural coverage metrics, it is often difficult to determine if the code has been exercised sufficiently to
Synthetic Data Generation Using Combinatorial Testing and Variational Autoencoder
Ordered t-way Combinations for Testing State-based Systems
Recommendations for Federal Vulnerability Disclosure Guidelines
Receiving reports on suspected security vulnerabilities in information systems is one of the best ways for developers and services to become aware of issues. Formalizing actions to accept, assess, and manage vulnerability disclosure reports can help reduce
Automated extraction of capacitive coupling for quantum dot systems
Gate-defined quantum dots (QDs) have appealing attributes as a quantum computing platform. However, near-term devices possess a range of possible imperfections that need to be accounted for during the tuning and operation of QD devices. One such problem is
Recommendations for Federal Vulnerability Disclosure Guidelines
User Perceptions and Experiences with Smart Home Updates
Updates may be one of the few tools consumers have to mitigate security and privacy vulnerabilities in smart home devices. However, little research has been undertaken to understand users' perceptions and experiences with smart home updates. To address
User Perceptions and Experiences with Smart Home Updates
Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays
The movement of large quantities of data during the training of a Deep Neural Network presents immense challenges for machine learning workloads. To minimize this overhead, espe- cially on the movement and calculation of gradient information, we introduce
Guidelines for Managing the Security of Mobile Devices in the Enterprise
Mobile devices were initially personal consumer communication devices, but they are now permanent fixtures in enterprises and are used to access modern networks and systems to process sensitive data. This publication assists organizations in managing and
Guidelines for Managing the Security of Mobile Devices in the Enterprise
Addressing Visibility Challenges with TLS 1.3
Protecting Controlled Unclassified Information in Nonfederal Systems and Organizations
Reusable Network Simulation for CPS Co-Simulations
Cyber-Physical Systems (CPS) require seamless integration of physical and computation components through communication networks. They often contain sub-systems from different physical domains (e.g., electrical, mechanical, and electronic) that must
Overview and Considerations of Access Control Based on Attribute Encryption
Advanced Encryption Standard (AES)
FIPS 197 устанавливает три реализации блочного шифра Rijndael: AES-128, AES-192 и AES-256. Каждая из них преобразует данные блоками по 128 бит, а числовой суффикс обозначает длину соответствующего криптографического ключа. AES является симметричным блочным шифром для шифрования и расшифрования цифровой информации. Стандарт описывает определения, обозначения, математические основы, спецификации алг…
Читать русский перевод →One-Step Traceability with NIST on a Chip: A Case for the Emergence of Quantum-Based Methods for Metrology and Sensing of Pressure, Vacuum, Temperature, Electric Fields, Mass, Force, and Torque, all enabled by the New SI
The world is changing. Measurements are everywhere. As sensors are embedded into everyday products and electronics, the importance of sensors that give "the right answer" or "none at all" is of growing importance. The traditional role of the national
Trusted Internet of Things (IoT) Device Network-Layer Onboarding and Lifecycle Management: Enhancing Internet Protocol-Based IoT Device and Network Security
Comparing Economic Benefits of HVAC Control Strategies in Grid-Interactive Residential Buildings
Energy consumption in buildings continues to rise with increased deployment of energy-consuming equipment such as Heating, Ventilation, and Air Conditioning (HVAC) amid a growing world economy. Renewable energy is projected to comprise a majority of the
Scheduling for Time-critical Applications Utilizing TCP in Software-based 802.1Qbv Wireless TSN
Time-sensitive networking (TSN) is emerging as a viable means to achieving deterministic quality of service (QoS) communications within mission critical industrial applications such as feedback control systems, robotics, and precision sensing and actuation
State Machine Replication and Consensus with Byzantine Adversaries
Phishing With a Net: The NIST Phish Scale and Cybersecurity Awareness
Orienting an entire organization toward sound security practices is an important, but non-trivial undertaking. A starting point for many organizations is to build a robust security awareness program, training employees to recognize and respond to security
AI for Materials
The application of artificial intelligence (AI) methods to materials re- search and development (MR&D) is poised to radically reshape how materials are discovered, designed, and deployed into manufactured products. Materials underpin modern life, and
Implementing Data Classification Practices
Discussion Draft of the NIST Cybersecurity Framework 2.0 Core
Deep Reinforcement Learning-based Task Assignment for Cooperative Mobile Edge Computing
Noise-resilient deep tomographic imaging
X-ray tomography is a non-destructive imaging technique that reveals the interior of an object from its projections at different angles. Under limited-angle and low-photon sampling, a regularization prior is required to retrieve a high-fidelity