Detection of Online Malicious Behavior: An Overview

Abstract

Online malicious behavior is performed in a certain kind of pressure, availability of opportunity, and through rationalized way. Web systems are accessed through browser and integrated with database so they usually face many types of vulnerabilities and online threats. The survey is focused on categorization of online malicious behavior on certain web platforms such as education, information technology, finance, and government. The characteristics of malicious behavior are explained. The research purpose is to gather, observe, compare, and study different malicious behavior, detection systems, tools and technologies used, results, and their drawbacks. The numerical observations of malicious behavior are given in order to understand severity of this behavior and its impact. The systems are observed comparatively to point out the challenges. The possible suggestions are mentioned about current requirements in online malicious behavior detection systems. The mind condition behind all malicious behavior is dishonesty and it is contagious by nature. The hybrid detection model is required which will detect malicious behavior in real time, will be flexible enough to configure newly arrived malicious behavior with good accuracy, and will work on multiple domains.