Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69430
Title: Application of multilayer perceptron network as a one-way hash function
Authors: Yee, L.P.
De Silva, L.C. 
Keywords: Cryptography
Neural network
One way hashing
Issue Date: 2002
Citation: Yee, L.P.,De Silva, L.C. (2002). Application of multilayer perceptron network as a one-way hash function. Proceedings of the International Joint Conference on Neural Networks 2 : 1459-1462. ScholarBank@NUS Repository.
Abstract: In this paper, the applicability of using a MultiLayer-Perceptron (MLP) Network as a possible hash algorithm is investigated. The difficulty of recovering an input from an MLP Network hashed output is presented. Important features of good hash algorithms such as resistance to birthday attacks and collision free hashing are explored with regard to the MLP Network. Possible advantages of using such an arrangement over existing hash algorithms are mentioned.
Source Title: Proceedings of the International Joint Conference on Neural Networks
URI: http://scholarbank.nus.edu.sg/handle/10635/69430
Appears in Collections:Staff Publications

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