A Novel Approach to Proactive Password Checking
Author(s): Carlo Blundo, Paolo D'Arco, Alfredo De Santis, Clemente Galdi

Date: 2002
Publication: Lecture Notes in Computer Science, Number 2437
Page(s): 30 - 39
Publisher: Springer-Verlag
Source 1: http://www.di.unisa.it/~paodar/papers/pdf/neuro.pdf
Source 2: http://dx.doi.org/10.1007/3-540-45831-X_3 - Subscription or payment required

Abstract or Summary:
In this paper we propose a novel approach to strengthening password based access control strategies. We describe a proactive password checker which uses a perceptron to decide whether a user's password is easy-to-guess. The checker is simple and efficient, and it works since easy and hard-to-guess passwords seem to be linearly separable. Experimental results show that the error rates in many cases are close to zero, memory requirements can be quantified in few bytes, and the answers to classification queries are almost immediate. This research opens new directions to investigate on the applicability of neural network techniques to data security environments.



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