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Exploration of Hidden Fraudulent Website Dataset with Different Perspective

The lucrative nature of fraud cannot be denied especially, its existence in the form of electronic fraud. The electronic fraud is on rise nowadays. A dataset is investigated for hidden fraudulent websites that can be helpful in assessing a classifier’s efficiency in discriminating
 against hidden fraudulent URLs. The dataset includes URLs marked with 185180 and some associated characteristics. Through different features, it has been shown here in the paper that how the dataset can be further utilized. Further, these features can be categorized and helpful for classifying
 the best features for fraudulent website detection.