Live traffic English text monitoring using fuzzy approach

Abstract

Current communication systems are very efficient and being used conveniently for secure exchange of vital information. These communication systems may be misused by adversaries and antisocial elements by capturing our vital information. Mostly, the information is being transmitted in the form of plain English text apart from securing it by encryption. To avoid losses due to leakage of vital information, one should not transmit his vital information in plain form. For monitoring of huge traffic, we require an efficient plain English text identifier. The identification of short messages in which words are written in short by ignoring some letters as in mobile messages is also required to monitor. We propose an efficient plain English text identifier based on Fuzzy measures utilizing percentage frequencies of most frequent letters and least frequent letters as features and triangular Fuzzy membership function. Presented method identifies plain English text correctly even, the given text is decimated/discontinuous and its length is very short, and seems very useful.