NDLI: Tree parity machine-based One-Time Password authentication schemes

Content Provider	IEEE Xplore Digital Library
Author	Tieming Chen Huang, S.H.
Copyright Year	2008
Description	Author affiliation: Coll. of Software Eng., Zhejiang Univ. of Technol., Hangzhou (Tieming Chen) \|\| Univ. of Cincinnati, Cincinnati, OH (Huang, S.H.)
Abstract	One-time password (OTP) is always used as the strongest authentication scheme among all password-based solutions. Currently, consumer devices such as smart card have implemented OTP based two-factor authentications for secure access controls. Such solutions are economically sound without support of timestamp mechanisms. Therefore, synchronization of internal parameters in OTP models, such as moving factor or counter, between the client and server is the key challenge. Recently, a novel phenomenon shows that two interacting neural networks, called Tree Parity Machines (TPM), with common inputs can finally synchronize their weight vectors through finite steps of output-based mutual learning. The improved secure TPM can well be utilized to synchronize parameters for OTP schemes. In this paper, TPM mutual learning scheme is introduced, then two TPM-based novel OTP solutions are proposed. One is a full implementation model including initialization and rekeying, while the other is light-weight and efficient suitable for resource-constrained embedded environment. Security and performance on the proposed protocols are at final discussed.
Starting Page	257
Ending Page	261
File Size	144222
Page Count	5
File Format	PDF
ISBN	9781424418206
ISSN	10987576
DOI	10.1109/IJCNN.2008.4633799
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Authentication Synchronization Artificial neural networks Protocols Cryptography Security Servers
Content Type	Text
Resource Type	Article

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