Automated Data analytics approach for examining the background economy of Cybercrime

In-spite of fast growth of cyber threats, there is need of the methodologies to assist the information systems to deal with the cyber security. In supplement to that, Crime-as-a-service (Caas) model is developed to reinforces the background information occurring in the cybercrime. The motivation of the work is to scrutinize the problems occurring in the cybercrime using the data analysis method for designing the information system. In order to accomplish, First the framework is created for examining the cybercrime activities. Second step, the definition for CaaS need to be created. Third step, classification model is used for classifying the various activities. For the evaluation of the proposed techniques, tested with the dataset collected form the online hacking community is used. Research gap is resolved by developing the effective information system for handling the various problem in cybercrime and also provide the practical perceptions for both the private and public sectors to record the attacks occurring in the cybercrime.