Seesaw: An Area-Optimized FPGA Viterbi Decoder for PUFs

Physical Unclonable Functions PUFs are popular security primitives to provide cryptographic keys on FPGAs. However, PUFs require error correction to create reliable cryptographic keys. This work presents a highly optimized Viterbi decoder, adapted to the constraints of PUFs on FPGAs, primarily area but also low power. Our Seesaw architecture contains two block RAMs that are connected through a custom low-area data path. As main result, alternating data access patterns reduce the complexity of the data handling in the Viterbi decoder. Instead of translating through the entire trellis, we introduce a method that only operates on the last state. The new access pattern permits to store the intermediate results in block RAM and leads to a compact overall footprint with low register count. Synthesis results for one legacy and one state-of-the art FPGA, and a comparison to state-of-the-art implementations demonstrate the efficiency of our new Seesaw architecture. Our decoder requires only 65 FPGA slices and 2 block RAMs to carry out the entire Viterbi decoding for a popular (2, 1, [7]) convolutional code.     «

Physical Unclonable Functions PUFs are popular security primitives to provide cryptographic keys on FPGAs. However, PUFs require error correction to create reliable cryptographic keys. This work presents a highly optimized Viterbi decoder, adapted to the constraints of PUFs on FPGAs, primarily area but also low power. Our Seesaw architecture contains two block RAMs that are connected through a custom low-area data path. As main result, alternating data access patterns reduce the complexity...     »