PUF Majority Voting for Stable Challenge-Response Outputs

The system divides the PUF response into multiple segments (individual bit positions) and applies majority voting independently to each segment. This segmentation allows error correction without requiring complex helper data, as each bit position can be corrected independently based on the majority of responses from multiple challenge-response pairs.

The system creates multiple copies of the PUF response by using multiple challenge-response pairs with different challenges. These copies are then compared using majority voting to determine the correct response, eliminating the need for traditional error correcting codes while maintaining reliability.

The system extracts and removes the need for helper data storage by implementing error correction through majority voting on the fly. The correction logic is performed during authentication without requiring pre-stored helper data, thereby eliminating the security vulnerability associated with storing sensitive correction information.

The PUF system performs self-correction by using its own multiple responses to determine the correct output through majority voting. The system serves its own error correction needs internally without requiring external helper data, making the system both more secure and more self-sufficient.

The system merges multiple PUF responses by applying a majority decision algorithm across them. Instead of treating each PUF as a separate complex component, the responses are combined through a simple majority vote, achieving error tolerance while keeping the decision logic relatively simple and uniform.

The system changes the parameter of using multiple challenge-response pairs with different challenges rather than relying on multiple physical PUFs. This allows achieving error tolerance through software-based repetition and majority voting, reducing the need for additional physical hardware components.