Encriptación de imágenes DICOM en HDFS para Big Data.

Abstract

Nowadays, Big Data acquired an important role in the medical field, due to her data analysis and low acquisition cost, allowing to store large quantities of data generated by patients. Biomedical studies DICOM demand a great capacity of analysis, since the medical images are high resolution and they are in digital format. The present project has the finality of protect the images stored in the biomedical studies DICOM across use of a symmetric encryption algorithm, due to a that the images of patient are of personal character, whereby the integrity and confidentiality must be guaranteed of them, for the development of project took place three phases. In the first phase called Hadoop, a completely distributed environment is configured and implemented for the processing of DICOM medical studies with encryption; in the second phase called Kerberos provides security in the network services and in the third phase called the DICOM Repository, the DICOM medical studies are sent automatically to the Hadoop environment for their respective processing. The tests were performed with different types of DICOM biomedical studies, such as tomography, mammography, magnetic resonance, and ultrasound where the performance of the prototype is reflected when storing and encrypting patient information.