IR 8320
Hardware-Enabled Security: Enabling a Layered Approach to Platform Security for Cloud and Edge Computing Use Cases
Выбранные официальные каталоги по ИТ, безопасности, приватности, ИИ и связи.
Реестр · 6 880 документов
Hardware-Enabled Security: Enabling a Layered Approach to Platform Security for Cloud and Edge Computing Use Cases
Use of Supervised Machine Learning to Detect Abuse of COVID-19 Related Domain Names
A comprehensive evaluation of supervised machine learning models for the COVID-19 related domain name detection is presented. One representative conventional machine learning implementation and nineteen state-of-the-art deep learning implementations are
Machine Learning-Based Algorithmically Generated Domain Detection
Malware like botnets typically uses domain generation algorithms (DGAs) to dynamically produce a large number of random algorithmically generated domains (AGDs) and use a few of them to communicate with the command and control servers. AGD detection
The IMS 2022 Technical Program Takes a Systems View
N/A
IMS 2022 Systems Forum Focus and Special Sessions
Summary of Focus and Special sessions at the International Microwave Symposium 2022.
Entanglement Thresholds of Doubly Parametric Quantum Transducers
Doubly parametric quantum transducers, such as electro-optomechanical devices, show promise for providing the critical link between quantum information encoded in highly disparate frequencies such as in the optical and microwave domains. This technology
Generating Cyber-Physical System Risk Overlays for Attack and Fault Trees using Systems Theory
We describe a formalized systems theoretic method for creating cyber-physical system (CPS) risk overlays that augment existing tree-based models used in CPS risk and threat analysis processes. This top-down approach objectively scopes the system's threat
Generating Cyber-Physical System Risk Overlays for Attack and Fault Trees using Systems Theory
Guide to Operational Technology (OT) Security
5G Cybersecurity
DeepFit: automated distribution fitting for building stochastic modelsDeepFit: automated distribution fitting for building stochastic models
Statistical model checking (SMC) is a formal verification method that combines simulations with statistical techniques to provide quantitative answers on whether a stochastic system satisfies some requirements with a controllable accuracy. SMC takes three
Trusted Cloud: Security Practice Guide for VMware Hybrid Cloud Infrastructure as a Service (IaaS) Environments
Hardware-Enabled Security: Machine Identity Management and Protection
Hardware-Enabled Security: Policy-Based Governance in Trusted Container Platforms
Ransomware Risk Management: A Cybersecurity Profile (Portuguese Translation)
Ransomware Risk Management: A Cybersecurity Framework Profile (Spanish Translation)
Satellite Ground Segment: Applying the Cybersecurity Framework to Assure Satellite Command and Control
A Roadmap for LIMS at NIST Material Measurement Laboratory
Instrumentation generates data faster and in higher quantity than ever before, and interlaboratory research is in historic demand domestically and internationally to stimulate economic innovation. Strategic mission needs of the NIST Material Measurement
Data-Driven RRAM Device Models using Kriging Interpolation
Blockchain and Related Technologies to Support Manufacturing Supply Chain Traceability
As supply chains become more complex and the origins of products become harder to discern, efforts are emerging that improve traceability of goods by exchanging traceability data records using blockchain and related technologies. This NIST NCCoE
Blockchain and Related Technologies to Support Manufacturing Supply Chain Traceability: Needs and Industry Perspectives
Improving Enterprise Patching for General IT Systems: Utilizing Existing Tools and Performing Processes in Better Ways
Despite widespread recognition that patching is effective and attackers regularly exploit unpatched software, many organizations do not adequately patch. There are myriad reasons why, not the least of which are that it's resource-intensive and that the act
Guide to Enterprise Patch Management Planning: Preventive Maintenance for Technology
Enterprise patch management is the process of identifying, prioritizing, acquiring, installing, and verifying the installation of patches, updates, and upgrades throughout an organization. Patching is more important than ever because of the increasing
Guide to Enterprise Patch Management Planning: Preventive Maintenance for Technology
Improving Enterprise Patching for General IT Systems: Utilizing Existing Tools and Performing Processes in Better Ways
Augmented Reality (AR) Usability Evaluation Framework: The Case of Public Safety Communications Research
Augmented Reality (AR) is an enhanced version of reality created by the use of technology to overlay digital information on an image of something being viewed through a device. AR has potential uses in many fields such as education, retail, repair
The future of collaborative human-AI decision-making for mission planning
In an increasingly complex military operating environment, next generation wargaming platforms can reduce risk, decrease operating costs, and improve overall outcomes. Novel Artificial Intelligence (AI) enabled wargaming approaches, based on software
Combination Frequency Differencing for Identifying Design Weaknesses in Physical Unclonable Functions
Combinatorial coverage measures have been defined and applied to a wide range of problems. These methods have been developed using measures that depend on the inclusion or absence of t-tuples of values in inputs and test cases. We extend these coverage
Combination Frequency Differencing for Identifying Design Weaknesses in Physical Unclonable Functions
Development of a Flashover Prediction Model for Compartment Fires Using Support Vector Regression
This report provides additional technical details to an article entitled 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