Open AccessThe THE INVESTIGATION OF HIDDEN FRAUDULENT WEBSITE DATASET WITH AN ALTERNATE POINT OF VIEW
Author(s) -
Muhammad Dawood Dawood
Publication year - 2019
Publication title -
science proceedings series
Language(s) - English
Resource type - Journals
eISSN - 2663-9467
pISSN - 2663-9459
DOI - 10.31580/sps.v1i2.591
Subject(s) - extortion , computer science , point (geometry) , classifier (uml) , computer security , data science , data mining , information retrieval , internet privacy , artificial intelligence , political science , mathematics , law , geometry
The worthwhile idea of fraud can't be denied particularly, its reality as electronic extortion. The electronic fraud is on rising these days. A dataset for covered up false sites is investigated which can be valuable for assessing the execution of a classifier for segregating covered up deceitful URLs. The dataset contains 185180 marked URLs and some related highlights. Through various highlights, it has appeared in the paper that how the dataset can be additionally used. Further, these highlights can be classified and supportive for arranging the best highlights for fake site recognition