So now we duplicate the useful bit of diff_one into the other bit position, by shifting it left by the distance between the two bits, and combining that with diff_one itself to get diff_dup. This has a 1 in both of the target bit positions if the two bits need to be flipped, ...
The statistical distance between the two distributions is negligible in k, and therefore, a computationally bounded adversary (which makes only a polynomial number of calls to these distributions) cannot distinguish between \mathsf {Enc}_S and \mathcal {A}^{\mathsf {LPN}^{t\times N}_S} ...
We settled on an answer based on another crypto 101 concept: The unicity distance. This is the minimum number of ciphertext characters such that the expected number of possible plaintexts is exactly 1; we simply plugged in the given ciphertext length and solved for the key length instead. ...
So now we duplicate the useful bit of diff_one into the other bit position, by shifting it left by the distance between the two bits, and combining that with diff_one itself to get diff_dup. This has a 1 in both of the target bit positions if the two bits need to be flipped, ...
In each test, a key consisting of one million bits was generated by utilizing the physical SRAM devices on the client side and the enrollment information on the server side. To assess the quality of the generated keys, the Hamming Distance between the two keys was calculated. This distance me...