The modern era is about everything that can be handled virtually in human life, such as
online banking, education, security, job, etc. This increase in technology use also makes it …

This chapter delves into the profound impact of artificial intelligence (AI) and machine
learning (ML) in practical, real-world applications. Unveiling the transformative capabilities …

Job seekers find themselves increasingly duped and misled by fraudulent job
advertisements, posing a threat to their privacy, security and well-being. There is a clear …

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 …

Online recruitment provides job-seekers an efficient search and reach for jobs. It also helps
recruiters searching for qualified candidates which improves the recruitment process …

Most companies nowadays are using digital platforms for the recruitment of new employees
to make the hiring process easier. The rapid increase in the use of online platforms for job …

The research proposes an automated solution based on machine learning-based
classification approaches to prevent fraudulent job postings on the internet. Many …

Recruitment fraud uses the guise of a genuine job opportunity to lure potential victims into
paying'fees' directly or sending sensitive personal information (driver's licence, bank account …

Aim: The main aim of this research study is to detect fraudulent service enrollment websites
using the Novel Random Forest algorithm and compare its accuracy with the XGBoost …

This study tries to detect fake job advertisements online using Novel Logistic Regression
and compares its accuracy with linear regression. Data collection and model training are …