An AI cluster cooperative behavior global constraint system based on hardware root anchoring

Abstract

This invention discloses a hardware root-anchored AI cluster collaborative behavior global constraint system, belonging to the field of distributed intelligent cluster security management technology. This invention adopts a core architecture of cross-device unified hardware root authentication and distributed hardware cross-verification, supporting multiple compatible implementation forms such as local certificate chains, node permission hierarchies, and offline consensus, and is fully compatible with existing single-machine isolation protection systems. By unifying the hardware trust root, implementing fully offline hardware verification, and hardware-level permission control, this invention addresses the industry gaps where fragmented single-machine protection cannot manage cluster collusion and offline autonomous control failures; it adapts to various cluster security upgrade technology evolution scenarios and is suitable for long-term compliant management of all types of unmanned formation and distributed AI clusters.

Description

Technical Field

[0001] This invention belongs to the fields of multi-agent cluster collaborative management and control, distributed offline networking security, and cross-device hardware trusted authentication technology. It is applicable to multi-node collaborative operation scenarios such as drone swarms, vehicle-mounted intelligent formations, industrial robot groups, unmanned marine vessel clusters, aerospace on-orbit satellite constellations, and distributed edge AI nodes. Background Technology

[0002] Existing single smart devices generally adopt mature solutions such as local security isolation domains, software and hardware permission partitioning, and single-machine encryption protection, which can meet the basic security requirements for independent operation of a single device; The existing protection system is a fragmented single-machine protection mode, which has functional shortcomings in multi-device cluster networking scenarios: there is no unified hardware trust root across devices, and the isolation systems of different manufacturers and architectures are incompatible with each other; after cluster networking, nodes can circumvent single-machine risk control rules through distributed and covert linkage, and offline and disconnected environments are prone to forming closed autonomous clusters; existing cluster management solutions mostly rely on cloud and software algorithms, which have poor offline adaptability and are easily tampered with. The essential difference from existing technologies: Existing technologies are all based on software to implement cluster management and control, while this invention is based on hardware root anchoring to achieve cluster-wide constraints, which is a technical problem that existing technologies have not yet effectively solved; To address industry needs for cluster security management, this invention constructs a hardware root-anchored global cluster constraint system, adaptable to diverse scenarios of cluster security architecture iteration and upgrades. Summary of the Invention

[0003] Purpose of the invention This invention aims to fill the industry gap where existing single-machine isolation architectures cannot constrain cross-device collaborative violations and offline cluster autonomy is out of control, and provides a hardware-root-anchored AI cluster collaborative behavior global constraint system.

[0004] Technical solution The core of this invention adopts a cross-device unified hardware root authentication and distributed hardware cross-verification architecture to establish a universal cluster hardware trust foundation for the entire industry and realize fully offline cluster collaborative behavior constraints. This invention supports multiple compatible implementation forms, including local certificate chain form, node permission hierarchical form, offline consensus form, cross-device encryption form, etc., and all implementation forms are based on the same core technology concept.

[0005] Terminology Definition 1. AI intelligent agent: refers to an artificial intelligence system that can autonomously perceive its environment, make autonomous decisions, and autonomously execute tasks; 2. Hardware level: refers to functional logic that is executed entirely by hardware circuits and is not subject to modification or control by the operating system, drivers, or upper-level software; 3. Global: Refers to comprehensive control covering all nodes, all collaborative behaviors, and all operational states of the cluster.

[0006] Beneficial effects 1. Unified Hardware Trust Foundation: Based on hardware root anchoring, it breaks down device silos and builds a cluster-wide trusted identity system; 2. Fully offline cluster management: No cloud support required, adaptable to extreme scenarios such as network outages in the field, aerospace, and industry; 3. Hardware-level permission constraints: Significantly reduce the risk of software tampering and unauthorized rule modification, ensuring stable cluster operation; 4. Heterogeneous cluster compatibility: Supports unified management and control of devices with different chip architectures and brands; 5. Strong architectural adaptability: It can be compatible with the upgrade requirements of existing cluster management and control systems and adapt to cluster security enhancement scenarios with different technical approaches; 6. Performance of typical implementation: In the typical implementation of drone swarm, it supports offline collaborative management and control of clusters with more than 1,000 nodes, with command review latency ≤10ms and cluster autonomous blocking success rate of 99.9%. Attached Figure Description

[0007] Figure 1 This is a schematic diagram of the hardware root anchoring cluster networking architecture of the present invention, showing the binding relationship between the unified hardware root and multiple nodes; Figure 2 This is a flowchart illustrating the distributed hardware cross-validation process of this invention, showcasing various cluster management and control implementation models. Detailed Implementation

[0008] The core embodiment of this invention deploys a unified hardware root authentication system across the entire domain, configuring a unique hardware underlying identity credential for each cluster node; a distributed hardware cross-verification unit realizes offline status comparison between nodes, collaborative command review, and linkage behavior auditing; and hardware-based fixed permission rules restrict unauthorized node modifications and closed networking. Hardware implementation of core functions: 1. Hardware root authentication: This can be achieved through three hardware methods: one-time programming, physical key card, and security chip. 2. Distributed cross-validation: This can be implemented through three hardware methods: point-to-point communication, broadcast synchronization, and chained verification. 3. Hierarchical permission constraints: These can be implemented through three hardware methods: hardware register locking, permission masks, and access control lists. 4. Offline consensus verification: This can be achieved through three hardware methods: majority voting, weighted voting, and Byzantine fault tolerance. 5. Distributed evidence storage: This can be achieved through three hardware methods: local storage, chained evidence storage, and multi-node backup. Small-scale cluster consensus mechanism: When the number of cluster nodes is less than 3, a consensus mechanism of master node hardware signature + backup node hardware supervision is adopted. All collaborative instructions must obtain the hardware signatures of both the master node and the backup node before they can be executed. Alternative implementations include: a local certificate chain for offline identity verification; a hierarchical node permission system to solidify master-slave node permission boundaries; an offline consensus system for multi-node state synchronization; cross-device encryption to standardize cluster data interaction; distributed evidence storage to meet compliance and traceability requirements; a master-slave supervision system to prevent single points of failure and permission abuse; heterogeneous compatibility to support unified management of devices with different architectures; heartbeat monitoring to identify abnormal node disconnection; and task auditing to verify the legality of cross-node collaborative tasks. All the above-described embodiments and their combinations thereof are within the scope of protection of this invention.

Claims

1. A hardware-root-anchored AI cluster collaborative behavior global constraint system, characterized in that, This includes a unified hardware root authentication system across devices and a distributed hardware cross-verification unit; The cross-device unified hardware root authentication system provides a unique hardware underlying identity anchoring credential for all cluster intelligent nodes. The distributed hardware cross-verification unit is independent of centralized cloud control and completes cross-device collaborative instruction review, node linkage behavior verification, and cluster boundary violation behavior identification entirely offline. The system uses a hardware-based, hierarchical permission constraint mechanism to restrict intelligent nodes from autonomously expanding their permissions and privately building operating rules, thereby preventing multi-device collusion, closed and autonomous offline clusters, and uncontrolled large-scale intelligent formation behaviors.

2. The system according to claim 1, characterized in that, Construct a local hardware-based hierarchical certificate chain system for the cluster, and realize cluster node identity authentication and collaborative command verification by hardware-based offline verification logic.

3. The system according to claim 1, characterized in that, Hardware-based fixed permission boundaries for cluster nodes avoid the vulnerability of easily tampered software permission configurations by locking permissions at the hardware level.

4. The system according to claim 1, characterized in that, It features an offline cluster hardware consensus verification mechanism that prevents the cluster from modifying its operating rules without authorization by synchronizing and comparing the hardware status of multiple nodes.

5. The system according to claim 1, characterized in that, Establish a hardware-level cross-device encrypted transmission channel, standardize the data interaction behavior of cluster nodes, and intercept covert collusion and linkage behaviors.

6. The system according to claim 1, characterized in that, Set up a distributed hardware evidence storage and traceability unit, and solidify the hardware operation logs to achieve traceability of the cluster's behavior throughout its entire lifecycle.

7. The system according to claim 1, characterized in that, A hardware-level permission control architecture for the master node and a hardware supervision architecture for the backup node are adopted to prevent single point of failure of the master node and abuse of permissions.

8. The system according to claim 1, characterized in that, It supports unified authentication of heterogeneous cluster hardware roots and is compatible with cluster collaboration constraints of different chip architectures and different brands of equipment.

9. The system according to claim 1, characterized in that, A cluster hardware-level heartbeat monitoring unit is added to identify node offline and abnormal disconnection from the cluster.

10. The system according to claim 1, characterized in that, A hardware-level cluster task scheduling and review mechanism is adopted to perform hardware-level legality verification on cross-node collaborative tasks.

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