NIST - Information Technology

  1. We invite you to join us in observing National Cybersecurity Career Awareness Week November 9-14, 2020 2020 Call for Commitments - Open Now Read More The National Cybersecurity Career Awareness Week Campaign focuses local, regional, and national interest to inspire, educate, and engage citizens to pursue careers in cybersecurity. National Cybersecurity Career Awareness Week takes place during November’s National Career Development Month. Each day of the campaign provides an opportunity to learn about the contributions and innovations of cybersecurity professionals and the plethora of job
  2. In efforts to automatically capture important data from scientific papers, computer scientists at the National Institute of Standards and Technology (NIST) have developed a method to accurately detect small, geometric objects such as triangles within dense, low-quality plots contained in image data. Employing a neural network approach designed to detect patterns, the NIST model has many possible applications in modern life. NIST’s neural network model captured 97% of objects in a defined set of test images, locating the objects’ centers to within a few pixels of manually selected locations.
  3. The Summer 2020 NICE eNewsletter has been published to provide subscribers information on academic, industry, and government developments related to the National Initiative for Cybersecurity Education (NICE), updates from key NICE programs, projects, the NICE Working Group, and other important news. To help increase the visibility of NICE, the NICE Program Office will issue regular eNewsletters that feature spotlight articles on academic, industry, and government developments related to NICE, updates from key NICE programs, projects, the NICE Working Group, and other important news. For
  4. Now that so many of us are covering our faces to help reduce the spread of COVID-19, how well do face recognition algorithms identify people wearing masks? The answer, according to a preliminary study by the National Institute of Standards and Technology (NIST), is with great difficulty. Even the best of the 89 commercial facial recognition algorithms tested had error rates between 5% and 50% in matching digitally applied face masks with photos of the same person without a mask. The results were published today as a NIST Interagency Report (NISTIR 8311), the first in a planned series from NIST
  5. The race to protect sensitive electronic information against the threat of quantum computers has entered the home stretch. After spending more than three years examining new approaches to encryption and data protection that could defeat an assault from a quantum computer, the National Institute of Standards and Technology (NIST) has winnowed the 69 submissions it initially received down to a final group of 15. NIST has now begun the third round of public review. This “selection round” will help the agency decide on the small subset of these algorithms that will form the core of the first post
  6. Since 2010, PSCR has held an annual Stakeholder Meeting to receive direct input, guidance, and feedback from public safety stakeholders across sectors. This information exchange has been invaluable to the success of the PSCR program and advancement of public safety communications technologies. That's why, in 2020, as part of our ongoing commitment to transparency, PSCR is developing a digital experience for sharing out yearly research updates. This new, virtual format will ensure stakeholders receive the cutting-edge updates they expect from PSCR delivered to wherever they are. When you claim
  7. Engineers at the National Institute of Standards and Technology (NIST) have developed a flexible, portable measurement system to support design and repeatable laboratory testing of fifth-generation (5G) wireless communications devices with unprecedented accuracy across a wide range of signal frequencies and scenarios. The system is called SAMURAI, short for Synthetic Aperture Measurements of Uncertainty in Angle of Incidence. The system is the first to offer 5G wireless measurements with accuracy that can be traced to fundamental physical standards — a key feature because even tiny errors can
  8. A new publication by cryptography experts at the National Institute of Standards and Technology (NIST) proposes the direction the technical agency will take to develop a more secure approach to encryption. This approach, called threshold cryptography, could overcome some of the limitations of conventional methods for protecting sensitive transactions and data. The document, released today in a final version as NIST Roadmap Toward Criteria for Threshold Schemes for Cryptographic Primitives (NISTIR 8214A), offers an outline for developing a new way to implement the cryptographic tools that
  9. RECORDING: Captioning will be available by Monday, August 3, 2020. On July 22-23, NIST will host a virtual-only event, Building the Federal Profile For IoT Device Cybersecurity: Next Steps for Securing Federal Systems. NIST leveraged the Core Baseline established in NISTIR 8259A and analyzed the controls found in NIST SP 800-53 to develop a catalog of key IoT device cybersecurity capabilities and supporting non-technical manufacturer capabilities and associated IoT device customer controls. This catalog is a critical building block for establishing a federal profile of the Core Baseline (
  10. Named Data Networking Community Meeting 2020 will take place as a virtual meeting on September 10 and 11, 2020. The organizing committee cordially invites you to participate in and contribute to the event! NDNComm is an annual event that brings together a large community of researchers from academia, industry, and government, as well as users and other parties interested in the development of Named Data Networking (NDN) technology. NDN is an architectural realization of the broad Information Centric Networking (ICN) vision that enables communications by named, secured data at the network layer

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