4.20 Enhance Internet of Things and CPS 2.4.2 4.21 Enhance Big Data Security Safety Annotation 2.4.7.3 4.22 Enhance Orchestration in Weak Federation Scenarios 2.4.7.5 4.23 Enhance Consent and the Glass-breaking Scenario 2.4.7.6 4.24 Enhance Security and Privacy Approaches in Analytics 5.4 4.25 Enhance Risk Management 5.6 4.26 Enhance Big Data Security Modeling and Simulation (ModSim) 5.7 4.27 Enhance Packet-Level Traceability / Reproducibility 7.1 4.28 Develop SABSA and Zachman Framework Could be new subsection in section 8 4.29 Enhance Configuration Management for Big Data 8.3 4.30 Enhance Dependency Models 8.3.2 4.31 Enhance Big Data SDLC Standards and Guidelines 8.4 4.32 Enhance Security and Privacy Events in Application Release 8.4.1.2 Management 4.33 Enhance Orchestration 8.4.1.3 4.34 Enhance Big Data Practices 8.4.6.2 ‘Least Exposure’ 4.35 Enhance Logging 8.4.6.3 4.36 Enhance Big Data Governance 8.5 4.37 Enhance Emerging Technologies 8.6 4.38 Enhance Machine Learning, AI, and Analytics for Big Data Security 8.6.2 and Privacy Volume 6 Topic # Volume 6 Topic Description Possible related section(s) 6.1 Develop additional architecture views and associated descriptions 4 to reflect additional areas of concern 6.2 Develop architecture views focused on addressing data 4 concerns. The current views described in this document focus heavily on the process and software components of the architecture. Since, this reference architecture deals with Big Data, additional views focused on addressing data concerns should be developed and incorporated into this architecture 6.3 Develop data centric sub-views focused on those Big Data 4 characteristics (e.g., volume, velocity, variety)would likely be appropriate 6.4 Develop data and interface oriented views. In addition, the highly 4 connected nature of systems and the challenges associated today’s with moving data with Big Data characteristics between systems
4.20 Enhance Internet of Things and CPS 2.4.2 4.21 Enhance Big Data Security Safety Annotation 2.4.7.3 4.22 Enhance Orchestration in Weak Federation Scenarios 2.4.7.5 4.23 Enhance Consent and the Glass-breaking Scenario 2.4.7.6 4.24 Enhance Security and Privacy Approaches in Analytics 5.4 4.25 Enhance Risk Management 5.6 4.26 Enhance Big Data Security Modeling and Simulation (ModSim) 5.7 4.27 Enhance Packet-Level Traceability / Reproducibility 7.1 4.28 Develop SABSA and Zachman Framework Could be new subsection in section 8 4.29 Enhance Configuration Management for Big Data 8.3 4.30 Enhance Dependency Models 8.3.2 4.31 Enhance Big Data SDLC Standards and Guidelines 8.4 4.32 Enhance Security and Privacy Events in Application Release Management 8.4.1.2 4.33 Enhance Orchestration 8.4.1.3 4.34 Enhance ‘Least Exposure’ Big Data Practices 8.4.6.2 4.35 Enhance Logging 8.4.6.3 4.36 Enhance Big Data Governance 8.5 4.37 Enhance Emerging Technologies 8.6 4.38 Enhance Machine Learning, AI, and Analytics for Big Data Security and Privacy 8.6.2 Volume 6 Topic # Volume 6 Topic Description Possible related section(s) 6.1 Develop additional architecture views and associated descriptions to reflect additional areas of concern 4 6.2 Develop architecture views focused on addressing data concerns. The current views described in this document focus heavily on the process and software components of the architecture. Since, this reference architecture deals with Big Data, additional views focused on addressing data concerns should be developed and incorporated into this architecture 4 6.3 Develop data centric sub-views focused on those Big Data characteristics (e.g., volume, velocity, variety)would likely be appropriate 4 6.4 Develop data and interface oriented views. In addition, the highly connected nature of today’s systems and the challenges associated with moving data with Big Data characteristics between systems 4