Comparative Analysis of Ransomeware Using Deep Learning

Abstract

Ransomware is a type of virus that encrypts a victim's data and demands payment in exchange for it. Critical data belonging to a person or organisation is encrypted, making it impossible for them to access files, databases, or apps. In order to gain access, a ransom is asked. An automated solution based on machine learning based classification algorithms is proposed in the research to prevent fraudulent job postings on the internet. For checking fraudulent posts on the internet, many classifiers are utilised, and the results of those classifiers are compared in order to determine the optimum employment scam detection model. For the detection of fake job postings, two types of classifiers are used: single classifiers and ensemble classifiers.