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Many practical applications benefit from Machine Learning (ML) and Artificial Intelligence (AI) technologies, but their security needs to be studied in more depth before the methods and algorithms are actually deployed in critical settings. In this article
Ascon family is one of the finalists of the National Institute of Standards and Technology (NIST) lightweight cryptography standardization process. The family includes three Authenticated Encryption with Associated Data (AEAD) schemes: \ascon-128 (primary)
Differential privacy policies allow one to preserve data privacy while sharing and analyzing data. However, these policies are susceptible to an array of attacks. In particular, often a portion of the data desired to be privacy protected is exposed online
This talk will cover findings from over 4 years of NIST phishing training data, highlighting user context as the key to phishing susceptibility. We will discuss the NIST Phish Scale, our research on why users click, and how it can help users spot a phish.
Artificial intelligence (AI) systems are increasingly seen in many public facing applications such as self-driving land vehicles, autonomous aircraft, medical systems and financial systems. AI systems should equal or surpass human performance, but given
While the existence of many security elements can be measured (e.g., vulnerabilities, security controls, or privacy controls), it is challenging to measure their relative security impact. In the physical world we can often measure the impact of individual
Johannes Schulz, William Z. Bernstein, Rafael Radkowski
As industrial internet of things (IoT) concepts and technologies continue to be retro-fitted onto existing manufacturing infrastructure, geospatial considerations, such as asset localization, registration, and tracking, become more critical to ensure
In 2021, the National Institute of Standards and Technology (NIST), in cooperation with the Intelligence Advanced Research Project Activity (IARPA), conducted OpenASR21, the second cycle of an open challenge series of automatic speech recognition (ASR)
Boonserm Kulvatunyou, Milos Drobnjakovic, Farhad Ameri, Chris Will, Barry Smith
The Industrial Ontologies Foundry (IOF) has been formed to create a suite of interoperable ontologies that would serve as a foundation for data and information interoperability in all areas of manufacturing. To ensure that the ontologies are developed in a
Stephen Quinn, Nahla Ivy, Greg Witte, Matthew Barrett, Robert Gardner
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
Barbara Guttman, Douglas R. White, Shannan Williams, Tracy Walraven
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
Min Chen, Hamid Gharavi, LIN WANG, VICTOR.C.M LEUNG, Zhongchun Liu, Iztok Humar
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
Qingtian Zou, Anoop Singhal, Xiaoyan Sun, Peng Liu
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
Adele Peskin, Joe Chalfoun, Michael Halter, Anne Plant
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