A Novel Approach for Pass Word Authentication using Brain -State -In -A Box (BSB) Model

Authentication is the act of confirming the truth of an attribute of a datum or entity. This might involve confirming the identity of a person, tracing the origins of an artefact, ensuring that a product is what it’s packaging and labelling claims to be, or assuring that a computer program is a trusted one. The authentication of information can pose special problems (especially man-in-the-middle attacks), and is often wrapped up with authenticating identity. Password authentication using Brain-State -In-A Box is presented in this paper .Here in this paper we discuss Brain-State -In-A Box Scheme for Textual and graphical passwords which will be converted in to probabilistic values Password. We observe how to get password authentication Probabilistic values for Text and Graphical image. This study proposes the use of a Brain-State -In-A Box technique for password authentication. In comparison to existing layered neural network techniques, the proposed method provides better accuracy and quicker response time to registration and password changes. Keywords— Authentication, Auto-associative model, Brain-State-InA-Box, Dynamic Associative Memories (DAM) INTRODUCTION This paper introduces new technique to overcome the limitations of present password techniques. So before introducing this approach of authentication let us introduce some basics of Brain-State-in -Box (BSB). A. Brain -State -In -A Box Model The "Brain-State-In-A-Box" [1, 2] (BSB) model is one of the earliest Dynamic Associative Memories (DAM) models. It is a discrete-time continuous-state parallel updated DAM. The BSB model extends the Linear Associator model and is similar to the Hopfield Model in that it is an Auto-associative model with its connection matrix computed using outer products in the usual way. The operation of both models is also very similar, with differences arising primarily in the way activations are computed in each iteration, and in the signal function used. The BSB model stands apart from other models in its use of the linear threshold signal function. Fig. 1 Working of BSB I. USER AUTHENTICATION USING BSB The architecture of the brain state in a box (BSB) consists of one layer of units that connect to themselves as illustrated in Figure1.The connection weights between units are bidirectional and symmetric. The units may be fully connected, as illustrated in the figure, or only partially connected by randomly setting some of the weights to 0. Anderson and his colleagues have frequently used 50%, or less, connectivity. Partial connectivity does not qualitatively affect the network performance, but reduces computational time, and provides some increase in biological realism (Anderson, 1995). A. Process of Authentication using BSB The process of authentication uses any one among Textual password or Graphical password as password and the training will be given to the network so that it can authenticate users. A.S.N. Chakravarthy et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 2 (5) , 2011, 2127-2131