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NIST Privacy Framework: A Tool for Improving Privacy Through Enterprise Risk Management, Version 1.0
This publication describes the voluntary NIST Privacy Framework: A Tool for Improving Privacy through Enterprise Risk Management (Version 1.0). The Privacy Framework is a tool developed in collaboration with stakeholders intended to help organizations
NIST Privacy Framework: A Tool for Improving Privacy Through Enterprise Risk Management, Version 1.0
Role of non-linear data processing on speech recognition task in the framework of reservoir computing
The reservoir computing neural network architecture is widely used to test hardware systems for neuromorphic computing. One of the preferred tasks for bench-marking such devices is automatic speech recognition (ASR). However, this task requires acoustic
Input Space Coverage Matters
Testing is the most commonly used approach for software assurance, yet it remains as much judgement and art as science. Structural coverage adds some rigor to the process by establishing formally defined criteria for some notion of test completeness, but
Input Space Coverage Matters
A Taxonomic Approach to Understanding Emerging Blockchain Identity Management Systems
SCAP Composer: A DITA Open Toolkit Plug-in for Packaging Security Content
Assessing Information Security Continuous Monitoring (ISCM) Programs: Developing an ISCM Program Assessment
Recommendations for IoT Device Manufacturers: Foundational Activities and Core Device Cybersecurity Capability Baseline
Forensic Analysis of Advanced Persistent Threat Attacks in Cloud Environments
Due to the increasing cyber-activities and the use of diverse devices offered on cloud environments, post-attack cloud forensic investigations must deal with data in diverse formats and quantities from emerging attackable interfaces. The process of
Forensic Analysis of Advanced Persistent Threat Attacks in Cloud Environments
BowTie - a deep learning feedforward neural network for sentiment analysis
How to model and encode the semantics of human-written text and select the type of neural network to process it are not settled issues in sentiment analysis. Accuracy and transferability are critical issues in machine learning in general. These properties
Towards Edge-Based Deep Learning in Industrial Internet of Things
As a typical application of the Internet of Things (IoT), the Industrial Internet of Things (I- IoT) connects all the related IoT sensing and actuating devices ubiquitously so that the monitoring and control of numerous industrial systems can be realized
D4I-Digital forensics framework for reviewing and investigating cyber attacks
Many companies have cited lack of cyber-security as the main barrier to Industrie 4.0 or digitalization. Security functions include protection, detection, response and investigation. Cyber-attack investigation is important as it can support the mitigation
RF Dataset of Incumbent Radar Signals in the 3.5 GHz CBRS Band
This Radio Frequency (RF) dataset consists of synthetically generated waveforms of incumbent 3.5 GHz radar systems. The intended use of the dataset is for developing and evaluating detectors for the 3.5 GHz Citizens Broadband Radio Service (CBRS) or
Resilient Interdomain Traffic Exchange: BGP Security and DDos Mitigation
In recent years, numerous routing control plane anomalies, such as Border Gateway Protocol (BGP) prefix hijacking and route leaks, have resulted in denial-of-service (DoS), unwanted data traffic detours, and performance degradation. Large-scale distributed
Resilient Interdomain Traffic Exchange: BGP Security and DDoS Mitigation
Recommendation for Stateful Hash-Based Signature Schemes
A Framework for Identifying and Prioritizing Data Analytics Opportunities in Additive Manufacturing
Many industries, including manufacturing, are adopting data analytics (DA) in making decisions to improve quality, cost, and on-time delivery. In recent years, more research and development efforts have applied DA to additive manufacturing (AM) decision
Data Confidentiality: Identifying and Protecting Assets and Data Against Data Breaches
Data Confidentiality: Detect, Respond to, and Recover from Data Breaches
Cognitive Information Measurements: A New Perspective
From a traditional point of view, the value of information does not change during transmission. The Shannon information theory considers information transmission as a statistical phenomenon for measuring the communication channel capacity. However, in
Standardization of File Recovery Classification and Authentication
Developing Cyber Resilient Systems: A Systems Security Engineering Approach
This publication is used in conjunction with ISO/IEC/IEEE 15288:2015, Systems and software engineering--Systems life cycle processes, NIST Special Publication 800-160, Volume 1, Systems Security Engineering--Considerations for a Multidisciplinary Approach
Challenges in Representing Manufacturing Processes for Systematic Sustainability Assessments: Workshop on June 21, 2018
A workshop on Challenges in Representing Manufacturing Processes for Systematic Sustainability Assessments, jointly sponsored by the U.S. National Science Foundation, the U.S. National Institute of Standards and Technology, ASTM International, the American
Developing Cyber Resilient Systems: A Systems Security Engineering Approach
Implementing a Protocol Native Managed Cryptocurrency
Previous work presented a theoretical model based on the implicit Bitcoin specification for how an entity might issue a cryptocurrency that mimics features of fiat currencies. Novel to this work were mechanisms by which the issuing entity could manage the
Augmenting Fiat Currency with an Integrated Managed Cryptocurrency
In this work, we investigate how the governance features of a managed currency (e.g., a fiat currency) can be built into a cryptocurrency in order to leverage potential benefits found in the use of blockchain technology and smart contracts. The resulting
A Nonlinear Multivariate Cryptosystem Based on a Random Linear Code
Implementing a Protocol Native Managed Cryptocurrency