Machine Entity Platform for Autonomous Transaction Authentication
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Solution Overview
Problem
There is a need for a system and method to authenticate machines independently of their operators and prevent fraudulent transactions, especially as machines become more autonomous and susceptible to hacking.
Innovation Solution
A machine entity platform generates a transaction account for machines, using seed telematics data and sensor information to create a dynamic profile that continuously authenticates and identifies the machine, allowing it to autonomously interact with other devices and merchants while preventing unauthorized transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If machines use operator account information for transactions, then transaction capability is enabled, but machine identity cannot be distinguished with absolute certainty and fraud prevention is compromised
Solution Approach 1:
The system segments the authentication process by creating separate machine credentials distinct from operator credentials. Each machine receives its own unique account information and authentication tokens, separating machine identity verification from operator identity verification. This allows the machine to be authenticated independently while maintaining transaction security.
Solution Approach 2:
The system introduces an intermediary authentication layer that mediates between the machine, operator, and transaction system. This intermediary layer verifies machine credentials separately from operator credentials, ensuring that both the machine and operator are authenticated independently before allowing transactions to proceed.
2Extent of automation
If machines become more autonomous, then operational independence is improved, but susceptibility to hacking and fraudulent manipulation increases
Solution Approach 1:
The system performs preliminary authentication of machine credentials before the machine engages in autonomous operations. Machine credentials are verified in advance, and authentication tokens are issued prior to autonomous operation. This preliminary action ensures that even when operating autonomously without operator intervention, the machine maintains verified identity and cannot be easily compromised by fraudulent manipulation.
3Device complexity
If traditional authentication methods are used for machines, then system simplicity is maintained, but authentication certainty and fraud prevention capability deteriorate
Solution Approach 1:
The system changes the authentication parameters by transitioning from operator-based credentials to machine-specific credentials. Each machine is assigned unique authentication parameters including machine IDs, digital certificates, and cryptographic keys. This parameter change enables precise machine identification and authentication, providing absolute certainty in machine identity verification while maintaining reasonable system complexity through standardized implementation.
Data Source
AI summary
A system and method are disclosed that prevent fraudulent transactions involving a machine and a machine account. The system and method generate a profile for a machine and continuously identify and validate the machine to allow a machine account to be used for conducting transactions. The system and method use information or data provided by the machine for authentication. The data provided by the machine includes any combination of sensor data, historical data, activity data, location data, transaction data and any other data related to the machine and its actions. The machine sends or initiates requests for transactions. The requests are analyzed and allowed to be completed or the requests are declined.