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Division of AI, Big data and Block chain
1. Journal Articles
Generalized Hash Chain Traversal with Selective Output
Yum, Dae Hyun
;
Seo, Jae Woo
;
Cho, Kookrae
;
Lee, Pil Joong
Division of AI, Big data and Block chain
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Title
Generalized Hash Chain Traversal with Selective Output
Issued Date
2010-05
Citation
Yum, Dae Hyun. (2010-05). Generalized Hash Chain Traversal with Selective Output. IEICE Transactions on Information and Systems, E93D(5), 1303–1306. doi: 10.1587/transinf.E93.D.1303
Type
Article
Author Keywords
hash chain
;
fractal traversal
;
amortization
Keywords
Amortization
;
Computational Costs
;
Depreciation
;
Direct Use
;
Fractal Traversal
;
Fractals
;
Hash Chain
;
Hash Chain Traversal
;
Hash Chains
;
Hash Functions
;
Hash Value
;
Memory Storage
;
One Way Hash Functions
;
Public Values
;
Secret Value
;
Time Periods
ISSN
0916-8532
Abstract
A hash chain H for a one-way hash function h(·) is a sequence of hash values >v0, vi, ⋯ , vn<, where v0 is a public value, vn a secret value, and vi = h(vi+1). A hash chain traversal algorithm T computes and outputs the hash chain H, returning vi in time period (called round) i for 1 ≤ i ≤ n. While previous hash chain traversal algorithms were designed to output all hash values vi (1 ≤ i ≤ n) in order, there are applications where every m-th hash value (i.e., vm, v2m, v3m, ⋯) is required to be output. We introduce a hash chain traversal algorithm that selectively outputs every m-th hash value efficiently. The main technique is a transformation from a hash chain traversal algorithm outputting every hash value into that outputting every m-th hash value. Compared with the direct use of previous hash chain traversal algorithms, our proposed method requires less memory storages and computational costs. Copyright © 2010 The Institute of Electronics, Information and Communication Engineers.
URI
http://hdl.handle.net/20.500.11750/56466
DOI
10.1587/transinf.E93.D.1303
Publisher
Institute of Electronics, Information and Communication Engineers
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Cho, Kookrae
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