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There is a number of previous studies have demonstarted the self-similarity(self-affinity) property of Internet network data traffic. Self-affinity and self-similarity are properties we associate with fractals. In this paper, firstly, we adopt the Random Scaling Fractal (RSF) model to capture the fractal behavior of internet traffic and to simulate their selffaffine characteristics. The relevance and validation of the proposed model have demonstrated by application of studies for measured Internet traffic. Secondly, we utilize the fractal nature of internet packets traffic for the application to securing data transmission through the Internet and instead of attaching a complete file (encrypted or otherwise) at a given time, we first encrypt the file, then split a binary representation of the file into a sequnce of binary files . The sizes of binary files are determined by the fractal characteristics of the Internet through which the data is to be transmitted using our proposed model. The data is then applied to the Internet as e-mail attachments and submitted according to a genrated sequence of inter-submission times computed that is computed using the same model. The recipient of the data recovers the information by concatenating the

A Novel Approach to Camouflaging the Transmission of a Digital File through the Internet based on RSF Model