Cryptographic Algorithms and Key Sizes for Personal Identity Verification
Federal Information Processing Standard 201-3 (FIPS 201-3) defines the requirements for Personal Identity Verification (PIV) life cycle activities, including identity proofing, registration, PIV Card issuance, and PIV Card usage. FIPS 201-3 also defines
Energy Efficiency Scaling for 2 Decades (EES2) Roadmap for Computing
Abstract—In response to the looming crisis in global energy consumption required for advanced computing applications, the United States Department of Energy (DOE) Advanced Materials and Manufacturing Technology Office (AMMTO) is leading a national effort
ALERT: A Framework for Efficient Extraction of Attack Techniques from Cyber Threat Intelligence Reports Using Active Learning
In the dynamic landscape of cybersecurity, curated knowledge plays a pivotal role in empowering security analysts to respond effectively to cyber threats. Cyber Threat Intelligence (CTI) reports offer valuable insights into adversary behavior, but their
A Review of the Literature on Voter Verification and Ballot Review
One of the major issues for voting systems today is whether they provide voters with a meaningful opportunity to verify their ballot before casting it. This opportunity is important in helping them vote their intent by catching errors or omissions made
Qualitative research to gain deeper insights about how voters mark, review, verify, and cast their ballots. Conducted as part of the work to update the human factors—accessibility, privacy, and usability—requirements in federal voting system standards and
Enhancing Network Data Plane Analysis with Native Graph Database
As modern networks grow in complexity, ensuring their reliability and security becomes increasingly vital. Data plane analysis is a key process for verifying network behavior, but traditional data plane analysis tools face challenges in extensibility
This paper presents a network management AI assistant built with Large Language Models. It adapts at runtime to the network state and specific platform, leveraging techniques like prompt engineering, document retrieval, and Knowledge Graph integration. The
Generative Artificial Intelligence (GenAI) Prompt Engineering for Additive Manufacturing (AM)
Additive manufacturing (AM) faces several challenges in achieving efficient and defect-free printing. Although traditional machine learning (ML) has proven effective in mitigating these challenges, it requires specialized models for solving specific
Global Community Technology Challenge (GCTC) Strategic Plan 2024-2026
This document provides a strategy and a project plan for the Global Community Technology Challenge, a federal smart cities program led by the Smart Connected Systems Division at the National Institute of Standards and Technology, an agency of the U.S
Leveraging Combinatorial Coverage in the Machine Learning Product Lifecycle
The data-intensive nature of machine learning (ML)-enabled systems introduces unique challenges in test and evaluation. We present an overview of combinatorial coverage, exploring its applications across the ML-enabled system lifecycle and its potential to
Measuring the Exploitation of Weaknesses in the Wild
Identifying the software weaknesses exploited by attacks supports efforts to reduce developer introduction of vulnerabilities and to guide security code review efforts. A weakness is a bug or fault type that can be exploited through an operation that
Evaluating Large Language Models for Real World Vulnerability Repair in C/C++ Code
The advent of Large Language Models (LLMs) has enabled advancement in automated code generation, translation, and summarization. Despite their promise, evaluating the use of LLMs in repairing real-world code vulnerabilities remains underexplored. In this
Anomaly Based Intrusion Detection using Large Language Models
In the context of modern networks where cyber-attacks are increasingly complex and frequent, traditional Intrusion Detection Systems (IDS) often struggle to manage the vast volume of data and fail to detect novel attacks. Leveraging Artificial Intelligence
Towards Bridging the Research-Practice Gap: Understanding Researcher-Practitioner Interactions and Challenges in Human-Centered Cybersecurity
Human-centered cybersecurity (HCC) researchers seek to improve people's experiences with cybersecurity. However, a disconnect between researchers and practitioners, the research-practice gap, can prevent the application of research into practice. While
Animating Vital-signs for Radar Simulations: Comparing Physical Optics Against 28.5 GHz Channel Measurements
Monitoring vital signs such as breathing or heart rates as well as other physical movements in complex environments is the basis for many emerging applications spanning from healthcare to autonomous vehicles. Designing Radar systems capable of remotely
Community-Scale Problem-Solving: Reflections on a Decade of Infrastructure Development in the MGI
The purpose of this paper is to reflect upon the Materials Genome Initiative (MGI) and our role as infrastructure developers within it. For context, we begin by considering a number of themes related to MGI activities such as modeling, design, building