Network Security: Private Communication in a Public World 3rd Edition
Widely regarded as the most comprehensive yet comprehensible guide to network security and cryptography, the previous editions of Network Security received critical acclaim for lucid and witty explanations of the inner workings of cryptography and network
Advancing Discovery with Artificial Intelligence and Machine Learning at NSLS-II
With the National Synchrotron Light Source II (NSLS-II) coming online in 2015 as the brightest source in the world, the imminent upgrades at the Advanced Photon Source, Advanced Light Source, and Linear Coherent Light Source, and advances in detector
Towards Resilient Manufacturing Ecosystems Through Artificial Intelligence - Symposium Report
In 2020, the National Science and Technology Council (NSTC) Subcommittee on Advanced Manufacturing and Subcommittee on Machine Learning and Artificial Intelligence articulated cross-agency interest in the value and timeliness of organizing a symposium to
Staging Cybersecurity Risks for Enterprise Risk Management and Governance Oversight
This document is the third in a series that supplements NIST Interagency/Internal Report (NISTIR) 8286, Integrating Cybersecurity and Enterprise Risk Management (ERM). This series provides additional details regarding the enterprise application of
An SDR-Based Performance Measurement of LTE and WLAN Coexistence
In this paper, we report on a software-defined radio (SDR) based test setup to emulate and evaluate the performance of a few wireless coexistence scenarios. The first case we study consists of two long-term evolution (LTE) downlink channels from adjacent
Digital Evidence Preservation: Considerations for Evidence Handlers
The preservation of digital evidence (DE) presents unique problems beyond traditional evidence preservation. This document addresses considerations related to the preservation of digital evidence. This document is part of a series on evidence management
A general approach to fast online training of modern datasets on real neuromorphic systems without backpropagation
We present parameter-multiplexed gradient descent (PMGD), a perturbative gradient descent framework designed to easily train emergent neuromorphic hardware platforms. We show its applicability to both analog and digital systems. We demonstrate how to use
Guest Editorial Sensing Psychological Parameters and AI-enabled Emotion Care for Human Wellness
Case studies on AI-aided emotion care and mental disorder patient monitoring can contribute to providing knowledge and research direction for scholars. Well-studied and persuasive case studies help professionals and the public to fully accept changes and
This project is anticipated to generate a software package for automation of the SAMURAI platform, Working Data, Derived Data, and Published Results. Working Data will comprise raw measurement information from vector network analyzer or camera array
We demonstrate a decade-passband superconducting diplexer operating from dc to 27 GHz, integrated in a niobium, Josephson-junction(JJ)-compatible process. Both low- and high-pass branches are singly-terminated 5-pole Butter-worth filters with a 2.5 GHz
This report of the Advanced Communications Technologies Working Group of the Interagency Committee on Standards Policy (ICSP) provides an overview of Federal agency advanced communications technologies (ACT) standards activities and recommends standards
The application of machine learning to the materials domain has traditionally struggled with two major challenges: a lack of large, curated data sets and the need to understand the physics behind the machine-learning prediction. The former problem is
This report represents a summary of the National Institute of Standards and Technology (NIST) Explainable Artificial Intelligence (AI) Workshop, which NIST held virtually on January 26-28, 2021.
Deep Learning for Detecting Logic-flaw-exploiting Network Attacks: An End-to-end Approach
Network attacks have become a major security concern for organizations worldwide. A category of network attacks that exploit the logic (security) flaws of a few widely-deployed authentication protocols has been commonly observed in recent years. Such logic
RF Josephson Arbitrary Waveform Synthesizer with Integrated Superconducting Diplexers
We present the design, fabrication and characterization of a broadband RF Josephson Arbitrary Waveform Synthesizer (RF-JAWS) with a series array of 4500 Josephson junctions (JJs) and integrated low-pass/high-pass five-pole superconducting diplexers. The
Semi-supervised 3D Neural Networks to Track iPS Cell Division in Label-free Phase Contrast Time Series Images
In order to predict cell population behavior, it is important to understand the dynamic characteristics of individual cells. Individual induced pluripotent stem (iPS) cells in colonies have been difficult to track over long times, both because segmentation
Finding Kinship in the Women in Radio Science (WIRS) Chapter
This paper introduces the Women in Radio Science, the newest Chapter of the US National Committee of the International Union of Radio Science. The unique challenges of minority groups in radio science community are discussed. Value and impact of
Challenges to building youth's online safety knowledge from a family perspective: Results from a youth/parent dyad study
This paper overviews a dyadic study of youth knowledge and understandings of online privacy and risk, and then highlights challenges that the study reveals about youth online risk taking and privacy protective measures from a family perspective. A full