LEADER 03565nam 2200577 450 001 9910698257103321 005 20230306201207.0 024 8 $aGOVPUB-C13-a53a5570f6653eb56ce529f65d6bd35c 035 $a(CKB)2430000000035798 035 $a(NjHacI)992430000000035798 035 $a(OCoLC)70786903 035 $a(OCoLC)927737464 035 $a(EXLCZ)992430000000035798 100 $a20230306d2005 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGuideline for implementing cryptography in the federal government /$fElaine B. Barker, William C. Barker, Annabelle Lee 205 $aSecond edition. 210 1$aGaithersburg, Md. :$cNational Institute of Standards and Technology,$d2005. 215 $a1 online resource (viii, 89 pages) 225 1 $aNIST special publication 300 $aTitle from title screen (viewed on July 20, 2006). 300 $a"December 2005." 320 $aIncludes bibliographical references. 330 $aThis Second Edition of NIST Special Publication (SP) 800-21, updates and replaces the November 1999 edition of Guideline for Implementing Cryptography in the Federal Government. Many of the references and cryptographic techniques contained in the first edition of NIST SP 800-21 have been amended, rescinded, or superseded since its publication. The current publication offers new tools and techniques. NIST SP 800-21 is intended to provide a structured, yet flexible set of guidelines for selecting, specifying, employing, and evaluating cryptographic protection mechanisms in Federal information systems?and thus, makes a significant contribution toward satisfying the security requirements of the Federal Information Security Management Act (FISMA) of 2002, Public Law 107-347. The current publication also reflects the elimination of the waiver process by the Federal Information Security Management Act (FISMA) of 2002. SP 800-21 includes background information, describes the advantages of using cryptography; defines the role and use of standards and describes standards organizations that are outside the Federal government; describes the methods that are available for symmetric and asymmetric key cryptography; describes implementation issues (e.g., key management); discusses assessments, including the Cryptographic Module Validation Program (CMVP), the Common Criteria (CC), and Certification and Accreditation (C&A); and describes the process of choosing the types of cryptography to be used and selecting a cryptographic method or methods to fulfill a specific requirement. 410 0$aNIST special publication. 531 $aGUIDELINE FOR IMPLEMENTING CRYPTOGRAPHY IN THE FEDERAL GOVERNMENT 606 $aComputer security$xStandards 610 $aCryptographic algorithm 610 $aCryptographic hash function 610 $aCryptographic key 610 $aCryptographic module 610 $aDigital signature 610 $aKey establishment 610 $aKey management 610 $aMessage authentication code 615 0$aComputer security$xStandards. 676 $a005.8 700 $aBarker$b Elaine B.$01352386 702 $aLee$b Annabelle 702 $aBarker$b William C. 712 02$aNational Institute of Standards and Technology (U.S.) 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910698257103321 996 $aGuideline for implementing cryptography in the federal government$93174978 997 $aUNINA LEADER 13249nam 22007695 450 001 9910488699203321 005 20251113203138.0 010 $a3-030-80285-X 024 7 $a10.1007/978-3-030-80285-1 035 $a(CKB)5590000000523701 035 $a(MiAaPQ)EBC6668440 035 $a(Au-PeEL)EBL6668440 035 $a(OCoLC)1260154028 035 $a(PPN)258306041 035 $a(DE-He213)978-3-030-80285-1 035 $a(EXLCZ)995590000000523701 100 $a20210703d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Neuroergonomics and Cognitive Engineering $eProceedings of the AHFE 2021 Virtual Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, July 25-29, 2021, USA /$fedited by Hasan Ayaz, Umer Asgher, Lucas Paletta 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (534 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v259 311 08$a3-030-80284-1 327 $aIntro -- Advances in Human Factors and Ergonomics 2021 -- Preface -- Contents -- Modeling and Monitoring Humans for Operational Task Performance -- Planned Investigations to Address Acute Central Nervous System Effects of Space Radiation Exposure with Human Performance Data -- 1 Introduction -- 2 Transferring Human Performance Outcome Limits to Animal Exposure Levels -- 3 Experimental Design Considerations -- 3.1 Task and Mission Selection -- 3.2 Determining Significantly-Low Levels of Performance -- 3.3 Measures and Evaluation -- 4 Conclusions -- References -- Investigating the Modulation of Spatio-Temporal and Oscillatory Power Dynamics by Perceptible and Non-perceptible Rhythmic Light Stimulation -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Apparatus and Stimuli -- 2.3 Procedure -- 2.4 Data Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Towards Artificial Social Intelligence: Inherent Features, Individual Differences, Mental Models, and Theory of Mind -- 1 Introduction -- 1.1 Framing the Issue: ASI and Urban Search and Rescue -- 2 From Knowledge in the Head to Artificial Social Intelligence -- 2.1 Theory of Mind, Mental Models, and Human-Agent Profiles -- 3 Preliminary Data Insights -- 3.1 Sample and Study Design -- 3.2 Processing Knowledge from the Head -- 3.3 Individual Differences and Minecraft USAR Mental Models -- 4 Concluding Remarks -- References -- Real-World Human State Assessment: Victories and Remaining Challenges -- Can Situation Awareness Be Measured Physiologically? -- 1 Introduction -- 2 Current SA Measures -- 3 Physiological Measures of SA -- 4 A Multidimensional Approach -- 5 Summary -- References -- Towards a Measure of Situation Awareness for Space Mission Schedulers -- 1 Introduction -- 2 Situation Awareness Overview -- 2.1 Understanding SA in Scheduling. 327 $a2.2 Scheduling-Specific SA Measure Development -- 3 Measure Implementation: Experimental Methodology -- 4 Results -- 5 Discussion and Conclusions -- References -- Monitoring Human Performance on Future Deep Space Missions -- 1 Introduction -- 2 Select Human Performance Monitoring Technologies -- 3 Conclusions and Future Work -- References -- What Did Our Model Just Learn? Hard Lessons in Applying Deep Learning to Human Factors Data -- 1 Introduction -- 2 Background -- 3 Case Study 1: Context Identification -- 4 Case Study 2: User Verification -- 5 Discussion -- 6 Conclusion -- References -- Addressing Two Central Issues of Team Interaction Dynamics: The Whole is Greater Than the Sum of Its Parts -- 1 Introduction -- 2 Team Task and Uncertainty: A Toy Model -- 3 Two Ways to Build Models of Human Cognitive Systems -- 3.1 Classical Probability Theory -- 3.2 Quantum Cognition -- 4 Summary -- References -- Amyotrophic Lateral Sclerosis Disease Progression Presents Difficulties in Brain Computer Interface Use -- 1 Introduction -- 2 Methods -- 2.1 Equipment -- 2.2 Protocol -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Epileptic Seizure Detection Using Tunable Q-Factor Wavelet Transform and Machine Learning -- 1 Introduction -- 2 Data and Methodology -- 2.1 Bonn Dataset -- 2.2 TQWT -- 2.3 Fractional Fuzzy Entropy -- 2.4 Auto-encoder -- 2.5 K Nearest Neighbor -- 2.6 Support Vector Machines -- 3 Results -- 4 Conclusion -- References -- Cognitive State Assessment -- Augmented Reality Integrated Brain Computer Interface for Smart Home Control -- 1 Introduction -- 2 Traditional System Set-up and Challenges -- 3 AR BCI Based Smart Home Set-up -- 3.1 Ultra-mobile EEG Headset -- 3.2 AR Headset -- 3.3 Raspberry Pi SoC -- 3.4 Smart Home Assistant -- 3.5 Overall System Design -- 4 Conclusion -- References -- Expectations in Human-Robot Interaction. 327 $a1 Introduction -- 2 Expectations -- 2.1 Expectations of Social Robots -- 3 Studying Expectations with UX Methodology -- 3.1 Analyze: Understanding User Work and Needs -- 3.2 Design: Creating Design Concepts -- 3.3 Prototype: Realizing Design Alternatives -- 3.4 Evaluate: Verifying and Refining Designs -- 4 Conclusions -- References -- Application of Recurrent Convolutional Neural Networks for Mental Workload Assessment Using Functional Near-Infrared Spectroscopy -- 1 Introduction -- 2 Network Development -- 2.1 Brief Overview of Network Components -- 2.2 Network Architectures -- 3 Implementation -- 3.1 Dataset and Preprocessing -- 3.2 Evaluation -- 4 Conclusion -- References -- Influence of Properties of the Nervous System on Cognitive Abilities -- 1 Introduction -- 2 Method -- 3 Results and Discussion -- 4 Conclusion -- References -- Understanding Junior Design Students' Emotion During the Creative Process -- 1 Introduction -- 2 Emotionalise Design Process -- 3 Decision-Making and Evaluation in the Design Process -- 4 Steps for Designing Emotion -- 5 Grammar for Visualising Emotions -- 6 Conclusion -- References -- Art Image Complexity Measurement Based on Visual Cognition: Evidence from Eye-Tracking Metrics -- 1 Introduction -- 2 Method -- 2.1 Stimuli -- 2.2 Participants -- 2.3 Eye-Tracking Task -- 2.4 Psychological Scaling -- 3 Result -- 4 Discussion -- References -- Neurobusiness Applications -- Attentional and Emotional Engagement of Sustainability in Tourism Marketing: Electroencephalographic (EEG) and Peripheral Neuroscientific Approach -- 1 Sustainability in Tourism Marketing -- 2 Neuroscience to Investigate Sustainability -- 3 A Neuroscientific Approach to Investigate Sustainability in Tourism Marketing -- 4 Discussion and Conclusions -- References. 327 $aThe Face of Bad Advertising: Assessing the Effects of Human Face Images in Advertisement Design Using Eye-Tracking -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Experimental Procedure -- 2.3 Eye Tracking Procedure and Analysis -- 3 Results -- 4 Discussion -- References -- Interpersonal Synchrony Protocol for Cooperative Team Dynamics During Competitive E-Gaming -- 1 Introduction and Background -- 2 Methodology -- 2.1 Experimental Overview -- 2.2 Experimental Setup -- 2.3 Cognitive Baseline Battery -- 2.4 Overwatch Gaming Task -- 3 Discussion -- References -- Assessing the Impact of Ad Characteristics on Consumer Behavior and Electrodermal Activity -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Experiment Protocol -- 2.3 Data Acquisition, Signal Processing, and Analysis -- 3 Results -- 3.1 Self-reported Ratings -- 3.2 EDA Measures -- 4 Discussion -- References -- Systemic-Structural Activity Theory -- Systemic-Structural Activity Theory and Artificial Intelligence -- 1 Introduction -- 2 Various Applications of Artificial Intelligence -- 3 Application of SSAT to Artificial Intelligence -- 4 Conclusion -- References -- Applying Web-based Application  ExpressDecision2 in Patient-Centered Care -- 1 Introduction -- 2 Problem-Centered and User-Centered Decisions -- 3 ExpressDecision2 -- 4 Applying ED2 to Reduce High Cholesterol Levels -- 4.1 Statin Choice Decision Aid Applied to John's Case -- 4.2 ED2 Applied to John's Case -- 4.3 Evaluating Hypothesis "STD Helps" -- 5 Conclusion -- References -- Neurocognitive Indicators of Insight According to P300 and Later Visual ERP Components -- 1 Introduction -- 2 Methods -- 3 Outcomes -- 4 Discussion -- 5 Conclusion -- References -- Self-regulation Approach for Setting Goals in Problem-Solving -- 1 Introduction -- 2 Bounded Rationality of Decision-Making and Problem-Solving. 327 $a3 Self-regulation Model of Decision-Making -- 4 The Principle of Instrumental Rationality for Setting Goals in Problem-Solving -- 5 Conclusion -- References -- Worker Engagement in Routinized Structured Activity Circumvention: Using SSAT to Understand the Significance of Involuntary Cognitive Intentionality -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion -- 4.1 Outline of Supervisory Research Activity Guide -- 4.2 Supervisor-Students Exchanges on Students' Output Conformity -- 5 Conclusion -- References -- Brain-Machine Interface (BMI) and Neuroinformatics -- Design for AI-Enhanced Operator Information Ergonomics in a Time-Critical Environment -- 1 Introduction -- 1.1 Measures of Information Ergonomics -- 2 Information Ergonomics in the Context of Situational Awareness -- 3 Using 3D Modelling and AI Driven Clustering to Enhance Information Ergonomics in Time-Critical Activity -- 3.1 Use Scenario -- 4 Concluding Remarks -- References -- Feature Comparison of Emotion Estimation by EEG and Heart Rate Variability Indices and Accuracy Evaluation by Machine Learning -- 1 Introduction -- 2 Feature Extraction from EEG and Heart Rate Variability -- 2.1 EEG Indexes -- 2.2 Heart Rate Variability (HRV) Indexes -- 3 Feature Selection -- 4 Data Collection -- 5 Model Construction and Comparison of Accuracies -- 6 Discussion and Future Work -- 7 Conclusion -- References -- An Analysis of the Cognitive Process and Similarities of Complex Problem Solving Discussions -- 1 Introduction -- 2 Methodology -- 2.1 Data Collection -- 2.2 Change in Subjective Difficulties and Conflict Level -- 2.3 Comparing Problem Difficulty and Conflict -- 2.4 Unitizing and Coding -- 2.5 Cognitive Process -- 2.6 Cognitive Process Similarity -- 3 Results -- 3.1 Participants' Information -- 3.2 Comparing Problem Difficulty and Conflict. 327 $a3.3 Cognitive Process. 330 $aThis book offers a broad overview of the field of cognitive engineering and neuroergonomics, covering emerging practices and future trends toward the harmonious integration of human operators and computational systems. It gathers both theoretical and practice-oriented studies on mental workload and stress, activity theory, human reliability, error and risk. It covers applications in various field, and corresponding strategies to make assistive technologies more user-oriented. Further, the book describes key advances in our understanding of cognitive processes, including mechanisms of perception, memory, reasoning, and motor response, with a particular focus on their role in interactions between humans and other elements of computer-based systems. Gathering the proceedings of the AHFE 2021 Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, held virtually on July25-29, 2021, from USA, this book offers extensive information and a thought-provoking guide for researchers and practitioners in cognitive engineering, neuroergonomics and their applications. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v259 606 $aNeurotechnology (Bioengineering) 606 $aIndustrial Management 606 $aComputational intelligence 606 $aCognitive psychology 606 $aNeural networks (Computer science) 606 $aNeuroengineering 606 $aIndustrial Management 606 $aComputational Intelligence 606 $aCognitive Psychology 606 $aMathematical Models of Cognitive Processes and Neural Networks 615 0$aNeurotechnology (Bioengineering). 615 0$aIndustrial Management. 615 0$aComputational intelligence. 615 0$aCognitive psychology. 615 0$aNeural networks (Computer science). 615 14$aNeuroengineering. 615 24$aIndustrial Management. 615 24$aComputational Intelligence. 615 24$aCognitive Psychology. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 676 $a612.8 702 $aAyaz$b Hasan 702 $aAsgher$b Umer 702 $aPaletta$b Lucas 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910488699203321 996 $aAdvances in Neuroergonomics and Cognitive Engineering$92569864 997 $aUNINA