Data Visualization over Encrypted Databases

Abstract

With the progression of IoT, the concept of big data and artificial intelligence became a focus of great interest. However, big data security and analysis is becoming a challenging task for the researcher. Similarly maintaining big data confidentiality and privacy over unsecure media is also a daunting assignment especially where data privacy is of utmost importance like cellular companies customer phone call data and medical records of patients etc. “Data Visualization over encrypted data” is a possible solution for preserving the privacy & confidentiality of data and even data analysis through visualization tool can be performed at the same time. In this research we are going to suggest a framework followed by practical implementation of a case scenario where data is secured over untrusted media like public cloud and implement visualization tools for easy analyzation of data without shifting to trusted domain. In this solution computation and analysis for visualization would be carried out over untrusted cloud platform on hashed and encrypted database and data decryption be carried out in trusted domain for only required data. This solution is capable to preserve the confidentiality and privacy of data over the cloud.