Call Authentication via Header Attestation Signatures
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Solution Overview
Problem
Current solutions fail to adequately address unwanted or scam phone calls, particularly those with spoofed information, and do not consider legitimate reasons for initiating calls with spoofed information.
Innovation Solution
The implementation of methods and systems that authenticate information associated with messages, specifically by analyzing header data to determine the authenticity of sender identifiers, and applying attestation values to generate signatures for updated messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If service providers take action against calls with spoofed information, then unwanted or scam calls are prevented, but legitimate calls with spoofed information are also blocked
Solution Approach 1:
The system changes the parameter of call handling from binary (block or allow) to multi-level (intercept, allow, or monitor) based on the attestation value. Different attestation levels trigger different actions, allowing the system to differentiate between scam calls and legitimate spoofed calls while maintaining high reliability in blocking unwanted calls.
2Object-affected harmful factors
If all calls with spoofed information are intercepted, then scam calls are reduced, but call throughput and legitimate communication are impacted
Solution Approach 1:
The system applies partial action by intercepting only calls with insufficient attestation values while allowing calls with sufficient attestation to pass through. This selective approach reduces scam calls without unnecessarily blocking legitimate traffic, thereby maintaining higher call throughput while still achieving harmful factor reduction.
3Measurement precision
If header data analysis is performed on all calls, then call authenticity is improved, but processing time and network latency increase
Solution Approach 1:
The system performs preliminary action by analyzing header data and determining attestation values during the call setup phase before the actual communication begins. This allows authenticity verification to be completed in advance, ensuring measurement precision while minimizing the time impact on the actual call duration.
4Reliability
If intercept criteria are applied to forked calls, then scam call identification is improved, but system complexity increases
Solution Approach 1:
The system applies local quality by implementing intercept criteria at specific termination points in the call routing path rather than uniformly across all routing decisions. Each termination point can independently evaluate calls against intercept criteria, allowing reliable scam detection while distributing system complexity across multiple localized decision points rather than centralizing it.
Data Source
AI summary
Methods and systems are described for authenticating calls. An example method may comprise receiving a message indicative of a call request. Header data associated with the message may be analyzed to determine an attestation value. A signature may be generated based on the attestation value. A signed message comprising the signature and at least a portion of the message may be sent.