freedom of expression concerns performance metrics for teachers, administrators, and districts. Data Provider Data-centric security such as Support both individual access (student) and ↔ Framework identity/policy-based encryption partitioned aggregate Provider Policy management for access Vendor (e.g., Pearson) controls, state-level control policies, federal-level policies; probably 20-50 different roles are spelled out at present. Computing on the encrypted data: Proposed homomorphic encryption Audits Support both internal and third-party audits by unions, state agencies, responses to subpoenas Framework Securing data storage and Large enterprise security, transaction-level Provider transaction logs controls—classroom to the federal government Key management CSOs from the classroom level to the national level Security best practices for --- data stores Security against DDoS attacks Standard Data provenance Traceability to measurement event requires capturing tests at a point in time, which may itself require a Big Data platform. Fabric Analytics for security intelligence Various commercial security applications Event detection Various commercial security applications Forensics Various commercial security applications Industrial: Aviation Sensor Data Storage and Analytics Mapping of sensor data storage and analytics is under development and will be included in future versions of this document. Transportation Cargo Shipping This use case provides an overview of a Big Data application related to the shipping industry for which standards may emerge in the near future. Table A-9: Mapping Cargo Shipping to the Reference Architecture NBDRA Security and Privacy Topic Use Case Mapping Component and Interfaces Data Provider End-point input validation Ensuring integrity of data collected from sensors → Application Real-time security monitoring Sensors can detect abnormal
freedom of expression concerns performance metrics for teachers, administrators, and districts. Data Provider ↔ Framework Provider Data-centric security such as identity/policy-based encryption Support both individual access (student) and partitioned aggregate Policy management for access control Vendor (e.g., Pearson) controls, state-level policies, federal-level policies; probably 20-50 different roles are spelled out at present. Computing on the encrypted data: homomorphic encryption Proposed Audits Support both internal and third-party audits by unions, state agencies, responses to subpoenas Framework Provider Securing data storage and transaction logs Large enterprise security, transaction-level controls—classroom to the federal government Key management CSOs from the classroom level to the national level Security best practices for data stores --- Security against DDoS attacks Standard Data provenance Traceability to measurement event requires capturing tests at a point in time, which may itself require a Big Data platform. Fabric Analytics for security intelligence Various commercial security applications Event detection Various commercial security applications Forensics Various commercial security applications Industrial: Aviation Sensor Data Storage and Analytics Mapping of sensor data storage and analytics is under development and will be included in future versions of this document. Transportation Cargo Shipping This use case provides an overview of a Big Data application related to the shipping industry for which standards may emerge in the near future. Table A-9: Mapping Cargo Shipping to the Reference Architecture NBDRA Component and Interfaces Security and Privacy Topic Use Case Mapping Data Provider → Application End-point input validation Ensuring integrity of data collected from sensors Real-time security monitoring Sensors can detect abnormal