El sitio web de la UCLM utiliza cookies propias y de terceros con fines técnicos y de análisis.

Aviso de Cookies

MARISMA-BiDa Pattern: Integrated Risk Analysis for Big Data  

28 de July del 2021

Our partner Manuel A. Serrano together with David G. Rosado, Julio Moreno, Luis Enrique Sánchez Crespo, Antonio Santos-Olmo, Eduardo Fernández-Medina of the group GSYA have published the article: "MARISMA-BiDa Pattern: Integrated Risk Analysis for Big Data" in the magazine Computer & Security of the publisher Elsevier.


Data is one of the most important assets for all types of companies, which have undoubtedly increased their quantity and the ways to exploit them. Big Data appears in this context as a set of technologies that manage data to obtain information to support decision making. These systems are not designed to be secure, which entails significant risks that must be controlled. Security risks in Big Data must be properly analyzed and managed to protect the system and secure the information and data being handled. This paper proposes a risk analysis approach for Big Data environments, which is based on a security analysis methodology called MARISMA (Methodology for Risk Analysis in Information Systems), supported by a technological environment in the cloud (eMARISMA tool) already used by numerous customers. Both MARISMA and eMARISMA are specifically designed to be easily adapted to particular contexts, such as Big Data. Our proposal, called MARISMA-BiDa, is based on the main related standards, such as ISO/IEC 27000 and 31000, or the NIST Big Data reference architecture or the ENISA and CSA recommendations for Big Data.

Return to News