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NIST Big Data Interoperability Framework: Volume 6, Big Data Reference Architecture
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
NIST Big Data Interoperability Framework: Volume 5, Architectures White Paper Survey
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
NIST Big Data Interoperability Framework: Volume 4, Security and Privacy
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
NIST Big Data Interoperability Framework: Volume 3, Use Cases and General Requirements
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
NIST Big Data Interoperability Framework: Volume 2, Big Data Taxonomies
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
NIST Big Data Interoperability Framework: Volume 1, Big Data Definitions
Big Data is a term used to describe the large amount of data in the networked, digitized, sensor- laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is
De-Identification of Personal Information
Abstract: De-identification removes identifying information from a dataset so that individual data cannot be linked with specific individuals. De-identification can reduce the privacy risk associated with collecting, processing, archiving, distributing or
NIST Big Data Interoperability Framework: Volume 4, Security and Privacy Version 1
De-Identification of Personal Information
Protection of Controlled Unclassified Information
This bulletin summarizes the information presented in NIST SP 800-171: Protecting Controlled Unclassified Information in Nonfederal Information Systems and Organizations. The publication the protection of Controlled Unclassified Information (CUI) while
The NIST IAD Data Science Research Program
We examine foundational issues in data science including current challenges, basic research questions, and expected advances, as the basis for a new Data Science Research Program and evaluation series, introduced by the Information Access Division of the
Protection of Controlled Unclassified Information
Software-defined Radio Based Measurement Platform for Wireless Networks
There has been a dramatic push to adopting wireless networking technologies and protocols (such as 802.11, ZigBee, WirelessHART, Bluetooth, ISA100.11a, etc.) into time-critical networks. End-to-end latency is critical to many distributed applications and
Shape Descriptors Comparison for Cell Tracking
New microscope technologies are enabling the acquisition of large volumes of live cell image data. Accurate temporal object tracking is required to facilitate the analysis of this data. One principle component of cell tracking is correspondence, matching
Security of Interactive and Automated Access Management Using Secure Shell (SSH)
Users and hosts must be able to access other hosts in an interactive or automated fashion, often with very high privileges, for a variety of reasons, including file transfers, disaster recovery, privileged access management, software and patch management
Poster:A Logic Based Network Forensics Model for Evidence Analysis
Modern-day attackers tend to use sophisticated multi-stage/multi-host attack techniques and anti-forensics tools to cover their attack traces. Due to the current limitations of intrusion detection and forensic analysis tools, reconstructing attack
Confidence Estimation in Stem Cell Classification
We study the problem of supervised classification of stem cell colonies and confidence estimation of the attained classification labels. The problem is investigated in the application context of heterogeneity labels of stem cell colonies observed by using
Security of Interactive and Automated Access Management Using Secure Shell (SSH)
A Logic Based Network Forensics Model for Evidence Analysis [poster]
Who Touched my Mission: Towards Probabilistic Mission Impact Assessment
Cyber attacks inevitably generate impacts towards relevant missions. However, concrete methods to accurately evaluate such impacts are rare. In this paper, we propose a probabilistic approach based on Bayesian networks for quantitative mission impact
Who Touched My Mission: Towards Probabilistic Mission Impact Assessment
Spreading alerts quietly and the subgroup escape problem
We introduce a new cryptographic primitive called a blind coupon mechanism (BCM). In effect, a BCM is an authenticated bit commitment scheme, which is AND-homomorphic. We show that a BCM has natural and important applications. In particular, we use it to
Protecting Controlled Unclassified Information in Nonfederal Information Systems and Organizations [including updates as of 09-03-2015]
[Supersedes SP 800-171 (June 2015, updated 1/14/2016): http://www.nist.gov/manuscript-publication-search.cfm?pub_id=920191 ] The protection of Controlled Unclassified Information (CUI) while residing in nonfederal information systems and organizations is of
Protecting Controlled Unclassified Information in Nonfederal Information Systems and Organizations
Spreading Alerts Quietly and the Subgroup Escape Problem
The Predictive Power of the Annellation Theory: The Case of the C26H16 Cata-Condensed Benzenoid Polycyclic Aromatic Hydrocarbons
The Annellation Theory was applied for the establishment of the locations of maximum absorbance for the p and β bands in the UV-Vis spectra of 8 benzenoid cata-condensed polycyclic aromatic hydrocarbons, PAHs, with molecular formula C26H16 and no available
On the Behavior of PRES Using Incomplete Judgment Sets
PRES, the Patent Retrieval Evaluation Score, is a family of retrieval system evaluation measures that combines recall and user effort to better reflect the quality of a retrieval run with respect to recall-oriented search tasks. Previous analysis of the
Attribute Based Access Control
Toward 5G Emerging Technologies: Selected Papers from IEEE PIMRC 2014
Additional Secure Hash Algorithm Standards Offer New Opportunities for Data Protection
This bulletin summarizes the information presented in FIPS 202. The publication specifies the Secure Hash Algorithm-3 (SHA-3) family of functions on binary data. Each of the SHA-3 functions is based on an instance of the KECCAK algorithm that NIST selected