Authorship Attribution in Tamil Language Email for Forensic Analysis


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Abstract


This paper presents Authorship attribution (AA) to Tamil language email. This work presents generation of representative signatures of Tamil emails using lexical and syntactic based methods. The signature of each email has large dimensions. In order to make it suitable for subsequent processing, conversion of large dimension of the signature into 2-dimensional pattern using Fisher’s linear discriminant function (FLD) method is given. The 2-dimensional patterns of the signatures are used as training data for the radial basis function (RBF) network and echo state neural network (ESNN). The improved classification of Tamil email is shown by transformation of patterns using FLD followed by training using RBF, as well as, training ESNN. The paper presents a new technique for building signature database and for optimal AA in Tamil email forensics.
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Keywords


Echo State Neural Network; Tamil Email; Lexical Features; Syntactic Features; Discriminant Function; Radial Basis Function

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References


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