Title
Non-malleable Codes for Decision Trees.
Abstract
We construct efficient, unconditional non-malleable codes that are secure against tampering functions computed by decision trees of depth d = n(1/4-o(1)). In particular, each bit of the tampered codeword is set arbitrarily after adaptively reading up to d arbitrary locations within the original codeword. Prior to this work, no efficient unconditional non-malleable codes were known for decision trees beyond depth O(log(2) n). Our result also yields efficient, unconditional non-malleable codes that are exp(-n(Omega(1)))-secure against constant-depth circuits of exp(n(Omega(1)))-size. Prior work of Chattopadhyay and Li (STOC 2017) and Ball et al. (FOCS 2018) only provide protection against exp(O(log(2) n))-size circuits with exp(-O(log(2) n))-security. We achieve our result through simple non-malleable reductions of decision tree tampering to split-state tampering. As an intermediary, we give a simple and generic reduction of leakage-resilient split-state tampering to split-state tampering with improved parameters. Prior work of Aggarwal et al. (TCC 2015) only provides a reduction to split-state non-malleable codes with decoders that exhibit particular properties.
Year
DOI
Venue
2019
10.1007/978-3-030-26948-7_15
ADVANCES IN CRYPTOLOGY - CRYPTO 2019, PT 1
DocType
Volume
ISSN
Conference
11692
0302-9743
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Marshall Ball1448.81
Siyao Guo2164.26
Daniel Wichs3191873.41