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Detecting SIMbox Fraud in Calls by Dilip Thummar is a document available to read on EtoBox.

What is Detecting SIMbox Fraud in Calls about?

This document proposes using a decision tree algorithm to detect SIMbox fraud in international calls based on analyzing call data records. The decision tree model would be built using six features extracted from call data records, with the goal of classifying calls as either legitimate or fraudulent SIMbox calls. The proposed technique was tested on data from a mobile operator in Libya and achieved a 97.95% detection accuracy. Decision trees are a commonly used machine learning method that can represent cla

Author
Dilip Thummar
Language
EN

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