Cyber Crime Classification and Analysis of Various Indian States and Union Territories During 2011 to 2022 Using Data Mining Techniques

Abstract

This paper attempts to identify the performance and to classify the cybercrime rate in Indian states during the period of 2022 with twenty-seven states and seven union teritories. The secondary source of data were collected from National Crime Records Bureau in India. Intially, the researchers selected 27 parameters related to crime. After data mining few variables are discarded from the analysis. The discarded variables are considered as outliers. The remaing twenty parameters were considered for further analysis, the variables like hacking the system, sexual exploitation, business, personal emotion, purchase of illegal drugs, spreading piracy, motives of blackmailing, etc. In this connection the main objectives are (i) to identify in which states crime rate is more, (ii) to identify which factors influence more for cybercrime, and (iii) to classify the performance based on the k-means clustering techniques. The results are classifed and are labelled as High Cyber Crime Rate States (HCCRS), Moderate Cyber Crime Rate States (MCCRS) and Low Cyber Crime Rate States (LCCRS)