A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques

ABSTRACT: With the rise of the Internet and social media, information has become available at our fingertips. However, on the dark side, these advancements have opened doors for fraudsters. Online recruitment fraud (ORF) is one of the problems created by these modern technologies, as hundreds of thousands of applicants are victimized every year globally. Fraudsters advertise bogus jobs on online platforms and target job hunters with fake offerings such as huge salaries and desirable geographical locations. The objective of these fraudsters is to collect personal information to be misused in the future, leading to the loss of applicants’ privacy. To prevent such situations, there is a need for an automatic detecting system that can distinguish between real and fake job advertisements and preserve the

SUBMITTER: Ullah Z 

PROVIDER: S-EPMC10280442 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature