TY - CHAP
T1 - A probabilistic error-correcting scheme that provides partial secrecy
AU - Decatur, Scott
AU - Goldreich, Oded
AU - Ron, Dana
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - In the course of research in computational learning theory, we found ourselves in need of an error-correcting encoding scheme for which relatively few bits in the codeword yield no information about the plain message. Being unaware of a previous solution, we came-up with the scheme presented here. Clearly, a scheme as postulated above cannot be deterministic. Thus, we introduce a probabilistic coding scheme that, in addition to the standard coding theoretic requirements, has the feature that any constant fraction of the bits in the (randomized) codeword yields no information about the message being encoded. This coding scheme is also used to obtain efficient constructions for the Wire-Tap Channel Problem.
AB - In the course of research in computational learning theory, we found ourselves in need of an error-correcting encoding scheme for which relatively few bits in the codeword yield no information about the plain message. Being unaware of a previous solution, we came-up with the scheme presented here. Clearly, a scheme as postulated above cannot be deterministic. Thus, we introduce a probabilistic coding scheme that, in addition to the standard coding theoretic requirements, has the feature that any constant fraction of the bits in the (randomized) codeword yields no information about the message being encoded. This coding scheme is also used to obtain efficient constructions for the Wire-Tap Channel Problem.
UR - http://www.scopus.com/inward/record.url?scp=85085203415&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-43662-9_1
DO - 10.1007/978-3-030-43662-9_1
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.chapter???
AN - SCOPUS:85085203415
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1
EP - 8
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer
ER -