Detecting Scam in Online Job Vacancy Using Behavioral Features Extraction

Abstract

To design a qualified training program so that the competence of job seekers can be in line with the industrial needs, Training Need Analysis (TNA) should be conducted before establish a training program. But unfortunately there have been many fraudulent job ads by individuals on behalf of the company. In order to overcome the problem, an employment scam detection is required. This research proposed an employment scam detection using of behavorial context based features to determine whether a job advertisement is legitimate or fraudulent.