Subscription Fraud in Telecommunication Modeling and Behavior analysis through Statistical Measure

The major aim of this paper is possible analysis of fraud activities prevalent in the telecommunication industry particularly regarding subscription fraud problems. A state variable model has been designed for analysis. This model is the basis and explains the necessity of profiling customer´s details and classifying and slabbing flat security deposits. This model is logically explained and is evaluated on the basis of a sample data set. Moreover predictability and interpretability of different graphs drawn on the basis of the data is explained with approximate formula. Finally the question of synthetic data generation for construction of a suitable learning rule has also been addressed.