Secure Exchanging of Various Data Types Used for Classification Purposes

Abstract

Frequently, in epidemiological studies, it is essential to study a disease of concern through observing the records of many patients. These records are usually the property of some local clinics, medical centers or hospitals providing services within the affected areas. The records are often gathered into datasets and each encompasses detailed information about the causative agent of the epidemic diseases in a specific zone. Therefore, trading such datasets, in a way that preserve the privacy and integrity of their contents, is essential. Since, studying these datasets gives a better understanding of the nature of the diseases and eventually compose a cure. In this paper, we compare four well-known secret-key cryptographic techniques to choose the best cipher that passes different evaluations with highest marks. The selected superior cipher would then be involved in providing secure exchanging of such datasets. The experiments on Wisconsin dataset, using java implementations of the four ciphers, show that there are contrasts between the performances of these ciphers which draw a clear picture of the most suitable cipher to use.