SRPNetOS Goals

Technical goals of SRPNetOS:

Core Architecture requirements include:

• • Support data centric security.

  • Security must be baked into core operations to secure information, users, resources and devices.

  • Securing data creation, data in motion, data at rest and data in use.

  • Path management must include data custody and data provenance.

  • Key technologies such as TSN, DDS and DSC must be supported.

  • The architecture must be standardized and extendable.

  • The architecture must be flexible to support both technical and business needs through the use of policy.

  • Quality of Service (QoS) must be definable, measurable and relevant.

  • There must be a comprehensive monitoring, logging and support strategy to minimize problems that occur. 

  • The weaknesses of TCP/IP related to providence, pathing and DDOS are resolved.

There are three communication stack requirements:

• A communication stack that supports low power operation

• A communication stack with high reliability and low latency

• A communication stack that enables secure communication environment 

Security design must support:

• • High security implementation for devices, information and services.

  • Secure distributed device computing.

  • Secure distributed information sharing

  • Secure Relationship Management

  • Secure integration with peer interoperability

  • Health and Support Ecosystem

  • Policy driven security implementation

Pathway Design

• • How many routes are available from A to B?

  • What is the best path based on policy x? 

  • Telemetry gathering

  • Telemetry analysis

  • Disaster recovery

  • Disaster prevention

  • Privacy

  • Disposable ID’s are required for privacy. 

  • This system has to define when to expose privacy to prevent abuse 

    • Telemetry gathering, traceroute function

Information Exchange Framework Integration Advantages:

• Data and resource identification - what and where data resides.

• Definition of policy based access control for data management

• Manage who, how and what data is accessed when and where.

• Detailed monitoring of behavior and information movement.

• Information (data) that is self-describing and defending.

• Businesses define policies and controls 

• Data movement is encrypted and managed