Unmasking Employment Scam: An Automated System to Detect Fraudulent Job Postings

An increased fraudulent job posting continues to pose a grave threat to the job seeker who is more or less susceptible to financial and personal risks. The paper takes this issue to solve it with the help of Employment Scam Aegean Dataset (EMSCAD) using the powerful machine learning algorithm called XGBoost, for classification of jobs posted as real or fake ones, which, to a good approximation, will show scams around near 98% with robust computational efficiency. For this reason, it will certainly be of service in high volumes. With the implementation of the solution in a website for jobs, the purpose of the solution will attempt to improve security for job markets and prevent victims from being misguided while applying