IoT Sensor Provenance Signing for Trusted Data Aggregation
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Solution Overview
Problem
Existing IoT devices face challenges in ensuring data provenance and integrity, particularly in autonomous decision-making and machine learning model training, due to the lack of techniques to guarantee that data originates from the sensors and remains immutable during transmission.
Innovation Solution
A trust framework is established where IoT sensors generate data provenance information cryptographically signed with private keys, and each node in the data path assigns and verifies trust scores, forming a trusted network chain to ensure data authenticity and integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If IoT sensors transmit data over a network without cryptographic verification, then data transmission simplicity is maintained, but data provenance and integrity cannot be guaranteed
Solution Approach 1:
The system performs preliminary cryptographic actions by having IoT sensors sign data with their private keys before transmission. This preliminary signing action ensures data provenance is established at the source, allowing verification downstream without adding complexity to the transmission process itself.
Solution Approach 2:
The system introduces an intermediary verification mechanism where trust scores are assigned to intermediate nodes in the data path. This intermediary layer mediates between the sensor and the analyzing system, providing cryptographic verification without requiring direct complex interactions between all parties.
2Reliability
If data is transmitted without trust verification, then transmission speed is maintained, but data integrity cannot be ensured
Solution Approach 1:
Trust verification is performed preliminarily by having data signed at the source before transmission. The cryptographic signatures are attached in advance, allowing rapid verification at the receiving end without time-consuming checks during transmission or at intermediate nodes.
Solution Approach 2:
The system replaces manual or mechanical trust verification processes with automated cryptographic verification. The verifying system automatically checks digital signatures and trust scores using cryptographic algorithms, eliminating time-consuming manual verification while ensuring data integrity.
3Reliability
If cryptographic signing is applied to all IoT sensors, then data authenticity is guaranteed, but processing overhead increases
Solution Approach 1:
The system applies cryptographic signing locally at each IoT sensor based on its specific capabilities and requirements. Not all sensors perform the same level of cryptographic operations - each sensor signs data according to its local needs and capabilities, reducing overall processing overhead while maintaining authenticity where critical.
Solution Approach 2:
The system changes cryptographic parameters dynamically based on data criticality and sensor capabilities. Less critical data may use simpler verification mechanisms while critical data receives full cryptographic verification, optimizing the balance between authenticity and processing overhead through parameter adjustment.
Data Source
AI summary
Systems and methods are disclosed for enhanced internet-of-things sensor analysis and real-time trust provenance determination. An example method includes determining a subset of a plurality of IoT sensors from which data is to be aggregated, the subset of the plurality of IoT sensors being responsive to one or more constraints, wherein individual IoT sensors are configured to generate data provenance information which, at least, cryptographically identifies data as originating from the individual IoT sensors; instructing the subset of the IoT sensors to generate data, wherein a first IoT sensor of the subset is instructed to execute a custom workload, and wherein the data provenance information generated via the first IoT sensor is to be cryptographically signed; and aggregating output data associated with the subset of the IoT sensors, wherein data provenance information associated with the IoT sensors is validated to form a trusted network chain.