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Security enhancement through effective encrypted communication using ELK

Abstract:

Big Data has become an important and essential tool for data analysis and decision making due to its fast evolution and rapid penetration in the industry. Therefore, ensuring data security has become a real challenge for Big Data platforms. This work proposes a secure communication system through the implementation of a real scenario consisting of a set of software applications related to the acquisition, transformation and analysis of large amounts of information, also known as stack ELK. More precisely, in our proposal the data are sent encrypted from its source in workstations to their storage with encryption format in Elasticsearch, thus guaranteeing its confidentiality. The results show that the efficiency in the process of generation and delivery of data packets is not affected by the encryption process. The process to secure the messages information requires less than 2 millisecond per data packet, which meets the requirements of realtime monitoring.