IoT Shoal Provisioning via State Machine Segmentation
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Solution Overview
Problem
Centralized security provisioning services in IoT systems pose a single point of failure and trust relationship issues, increasing the attack surface and being inappropriate for many IoT systems.
Innovation Solution
The implementation of a state machine model for provisioning IoT devices, allowing them to be organized into autonomous or semi-autonomous groups (shoals) with shoal-specific context information, enabling self-directed provisioning without relying on centralized manageability servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If centralized security provisioning services are used, then trust management and security control are simplified, but the system creates a single point of failure and increases the attack surface
Solution Approach 1:
The patent segments the centralized security provisioning function into distributed components. Each IoT device maintains its own security credentials and provisioning state locally, eliminating the single point of failure. The system divides security management across multiple autonomous devices rather than relying on a central authority, thus improving reliability while maintaining security control.
Solution Approach 2:
The patent introduces a blockchain-based distributed ledger as an intermediary that enables trustless security provisioning. Instead of direct trust between devices and a central authority, the blockchain mediates credential verification and provisioning state management, allowing devices to securely provision themselves without centralized control, thereby resolving the contradiction between ease of management and system resilience.
2Device complexity
If centralized manageability servers are used for provisioning, then device provisioning control is centralized and simplified, but the system increases dependency on central entities and expands attack surface
Solution Approach 1:
The patent implements self-service provisioning where IoT devices autonomously manage their own security credentials and provisioning states. Devices can independently verify credentials, transition provisioning states, and validate group membership without contacting centralized servers. This eliminates the need for centralized manageability servers, reducing device complexity while simultaneously minimizing attack surface by removing central vulnerability points.
Solution Approach 2:
The patent extracts the security provisioning control function from centralized servers and embeds it directly into individual IoT devices. Each device contains local logic for credential verification, state machine management, and group provisioning validation. This extraction removes the centralized control structure that creates attack surfaces while maintaining provisioning control through distributed device autonomy.
3Reliability
If autonomous group provisioning is implemented, then system resilience and security are improved, but device provisioning complexity and coordination requirements increase
Solution Approach 1:
The patent applies homogeneity by implementing identical state machine logic and credential verification procedures across all IoT devices in a group. Each device follows the same provisioning protocol and maintains consistent state transitions, simplifying coordination despite autonomous operation. This uniform approach enables reliable group provisioning without requiring complex device-specific coordination mechanisms.
Solution Approach 2:
The patent implements preliminary action by pre-configuring devices with security credentials, group identifiers, and state machine logic before deployment. Devices arrive pre-provisioned with the necessary security context to autonomously join groups and validate credentials without real-time coordination. This preliminary preparation reduces runtime complexity while maintaining high system resilience through autonomous operation.
Data Source
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AI summary
Techniques are disclosed for provisioning Internet of Things (IoT) devices in accordance with a state machine model. More particularly, collections of IoT devices may be organized into enclaves, groups or "shoals" that operate as autonomous or semi-autonomous groups of devices functioning as a collective having a common objective or mission. IoT devices participating in a shoal may be provisioned with shoal-specific context information as part of their device-specific provisioning activity. By way of example, a shoal context object can include a current state variable and a target next state variable. The shoal's target next state variable establishes a goal [e.g., for provisioning activity) without dictating how the individual shoal members (IoT device) are to achieve that goal. This mechanism may be used to drive a shoal's separate devices through their individual provisioning state machines until the shoal itself is made operational.