SP 800-216
Recommendations for Federal Vulnerability Disclosure Guidelines
Выбранные официальные каталоги по ИТ, безопасности, приватности, ИИ и связи.
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Recommendations for Federal Vulnerability Disclosure Guidelines
Migration to Post-Quantum Cryptography
Exact Tile-Based Segmentation Inference for Images Larger than GPU Memory
We address the problem of performing exact (tiling-error free) out-of-core semantic segmentation inference of arbitrarily large images using fully convolutional neural networks (FCN). FCN models have the property that once a model is trained, it can be
Metamorphic Testing on the Continuum of Verification and Validation of Simulation Models
Metamorphic testing has been shown to be useful in testing "non-testable" programs in many domains. Modeling & simulation is one such domain, where both verification and validation can be difficult due to lack of oracles. Although the definition of
Using Mobile Device Biometrics for Authenticating First Responders
Metamorphic Testing on the Continuum of Verification and Validation of Simulation Models
Demonstration that Einstein-Podolsky-Rosen Steering Requires More than One Bit of Faster-than-Light Information Transmission
Schrödinger held that a local quantum system has some objectively real quantum state and no other (hidden) properties. He therefore took the Einstein-Podolsky-Rosen (EPR) phenomenon, which he generalized and called 'steering', to require nonlocal
Combinatorially XSSing Web Application Firewalls
Cross-Site scripting (XSS) is a common class of vulnerabilities in the domain of web applications. As it remains prevalent despite continued efforts by practitioners and researchers, site operators often seek to protect their assets using web application
Combinatorially XSSing Web Application Firewalls
Hardware-Enabled Security: Enabling a Layered Approach to Platform Security for Cloud and Edge Computing Use Cases
Securing Small-Business and Home Internet of Things (IoT) Devices: Mitigating Network-Based Attacks Using Manufacturer Usage Description (MUD)
The goal of the Internet Engineering Task Force's Manufacturer Usage Description (MUD) specification is for Internet of Things (IoT) devices to behave as intended by the manufacturers of the devices. MUD provides a standard way for manufacturers to
Securing Small-Business and Home Internet of Things (IoT) Devices: Mitigating Network-Based Attacks Using Manufacturer Usage Description (MUD)
Addressing Visibility Challenges with TLS 1.3
Evaluating Multimedia and Language Tasks
Evaluating information access tasks, including textual and multimedia search, question answering, and understanding has been the core mission of NIST's Retrieval Group since 1989. The TRECVID Evaluations of Multimedia Access began in 2001 with a goal of
Deep reinforcement learning assisted energy harvesting wireless networks
Heterogeneous ultra-dense networking (HUDN) with energy harvesting technology is a promising approach to deal with the ever-growing traffic that can severely impact the power consumption of small-cell networks. Unfortunately, the amount of harvested energy
TREC 2020 News Track Overview
The News track focuses on information retrieval in the service of help- ing people read the news. In 2018, in cooperation with the Washington Post1, we released a new collection of nearly 600,000 news articles, and crafted two tasks related to how news is
Trusted Internet of Things (IoT) Device Network-Layer Onboarding and Lifecycle Management: Enhancing Internet Protocol-Based IoT Device and Network Security
Data Classification Practices: Facilitating Data-Centric Security Management
On the Effect of Projection on Rank Attacks in Multivariate Cryptography
SoK: How (not) to Design and Implement Post-Quantum Cryptography
Post-quantum cryptography has known a Cambrian Explosion in the last decade. What started as a very theoretical and mathematical area has now evolved into a sprawling research field, complete with side-channel resistant embedded implementations, large
SoK: How (not) to Design and Implement Post-Quantum Cryptography
Establishing Confidence in IoT Device Security: How do we get there?
Temporal State Machines: Using temporal memory to stitch time-based graph computations
Race logic, an arrival-time-coded logic family, has demonstrated energy and performance improvements for a subset of applications ranging from dynamic programming to machine learning. In the absence of memory, or a mathematical framework for abstraction
Laboratory Method for Recording AWS-3 LTE Waveforms
The focus of this work provides a library of actual long-term evolution (LTE) user equipment (UE) emissions with sufficient time resolution and dynamic range for use in spectrum sharing, and interference susceptibility studies. National Advanced Spectrum
System Explanations: A Cautionary Tale
There are increasing calls for systems that are able to explain themselves to their end users to increase transparency and help engender trust. But, what should such explanations contain, and how should that information be presented? A pilot study of
Study of 5G New Radio (NR) Support for Direct Mode Communications
In public safety communications, direct mode communication is essential to keep first responders connected, especially when there is no network coverage. Direct mode communication is supported in Third Generation Partnership Project (3GPP) Long Term
Baseline Pruning-Based Approach to Trojan Detection in Neural Networks
This paper addresses the problem of detecting trojans in neural networks (NNs) by analyzing how NN accuracy responds to systematic pruning. This study leverages the NN models generated for the TrojAI challenges. Our pruning-based approach (1) detects any
Deep Reinforcement Learning for Edge Service Placement in Softwarized Industrial Cyber-Physical System
Future industrial cyber-physical system (CPS) devices are expected to request a large amount of delay-sensitive services that need to be processed at the edge of a network. Due to limited resources, service placement at the edge of the cloud has attracted
Securing Telehealth Remote Patient Monitoring Ecosystem
Vectorizing Green's Identities
Green's theorem and Green's identities are well-known and their uses span almost every branch of science and mathematics. In this paper, we derive a vector analogue of Green's three scalar identities and consider some of their uses. We also offer a number