A DATA ANALYTICS APPROACH TO CYBERCRIME UNDERGROUND ECONOMY

Volume 20 No 7 (2022)

Shastri Vishwasree, D.Renuka, G. Lakshmi Prasanna, Ch. Sree Durga

DOI: 10.14704/nq.2022.20.7.NQ33270

Abstract

This paper discusses the cyber risks despite fast escalation and research into approaches that assist information system researchers and practitioners. Crime-as-a-Service (CaaS) is a little-known criminal business model that supports the underground cybercrime sector. In order to analyze the cybercrime underground economy in the context of the research gap and real-world cybercrime challenges we confront, we used a data analytics method from a design science viewpoin

Keywords

: Crimeware-as-a-Service, crimeware, underground economy, hacking community, machine learning.

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