Study of Cyber Crimes Using Data Science

Abstract

In today’s technological advancements in the digital world cybercrime has caused unprecedented challenges to individuals and organizations. Cybercrime is an acronym used to describe illicit activity where a computer or network serves as the source, tool of the crime. Cybercrime includes advanced unlawful activities like fraud, the trafficking of child pornography and other intellectual property, identity theft, and privacy violations. A rise in data has been correlated with a rise in incidents of data theft. Worldwide, organizations and individuals are increasingly concerned about hacking and system intrusion using various technologies. Data science is the study of data to extract useful business insights. It is a path of interdisciplinary access for analyzing enormous amounts of data that brings together information and techniques from the domains of artificial intelligence, statistics, mathematics, and computer engineering. In this paper, the data has been collected from Indian Government sites and studied for different states and metropolitan cities. Using different data science techniques along with the statistical methods like correlation, hypothesis testing, some conclusions have been drawn for various motives of cybercrimes.