TSN Scheduler Using Power Connections for Security
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Solution Overview
Problem
Control systems, such as power grids, face challenges in ensuring timely and secure data communication due to external security risks and high processing resource requirements, which can lead to reduced effectiveness and stability.
Innovation Solution
A scheduler is configured to identify power connections and determine the topology of components in a time-sensitive network, scheduling flows based on these connections while applying cybersecurity measures tailored to the impact on power grid stability, using methods like quantum key distribution for higher priority components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cybersecurity measures are implemented over the network to protect against external security risks, then security level is improved, but processing resource requirements increase
Solution Approach 1:
The patent applies different cybersecurity measures to different network flows based on their criticality to power grid stability. High-priority flows that significantly impact power grid stability receive stronger security protection (e.g., quantum key distribution), while lower-priority flows receive standard security measures. This localized approach ensures that security resources are concentrated where they are most needed, improving overall security level while minimizing unnecessary processing resource consumption on non-critical flows.
2Reliability
If cybersecurity measures are implemented over the network to protect against external security risks, then security level is improved, but device complexity increases
Solution Approach 1:
The patent segments the network flows into different priority levels based on their impact on power grid stability. By dividing the network traffic into high-priority and standard-priority categories, the system can apply appropriate cybersecurity measures to each segment. This segmentation reduces device complexity by avoiding the need to apply uniform complex security measures to all flows, while still maintaining high security levels for critical flows.
3Stability of the object's composition
If data frames are delivered on-time to maintain feedback control system performance, then control system stability is improved, but network scheduling complexity increases
Solution Approach 1:
The patent determines the criticality of network flows in advance, before data transmission occurs. By pre-classifying flows based on their impact on power grid stability and pre-assigning priority levels, the system establishes transmission schedules that guarantee on-time delivery for critical flows. This preliminary action simplifies real-time scheduling complexity while ensuring control system stability, as the scheduler only needs to follow pre-determined priority rules rather than making complex real-time decisions.
Data Source
AI summary
A method includes identifying power connections between plural components of a time sensitive network (TSN) that are interconnected via a predetermined connection plan. The method also includes determining a topology of the components of the TSN based on the power connections. Also, the method includes scheduling flows for the TSN based on the topology determined based on the power connections.