Homomorphic Encryption for Secure Computation on Big Data

Roger A. Hallman, Mamadou H. Diallo, Michael A. August, Christopher T. Graves

2018

Abstract

With the ubiquity of mobile devices and the emergence of Internet of Things (IoT) technologies, most of our activities contribute to ever-growing data sets which are used for big data analytics for a variety of uses, from targeted advertising to making medical and financial judgments and beyond. Many individuals and organizations adopt this new big data paradigm without giving any consideration to privacy and security when they create this data and voluntarily give it up for aggregation. Data breaches have become such a common occurrence that it is easy to despair that concepts like privacy and security are antiquated and we should simply accept data leakage as a new normal. Homomorphic Encryption (HE) is a method of secure computation which allows for calculations to be made on encrypted data without decrypting it and without giving away information about the operations being done. While HE has historically been plagued by computational inefficiencies, the field is rapidly advancing to a point where it is efficient enough for practical use in limited settings. In this paper, we argue that, with sufficient investment, HE will become a practical tool for secure processing of big data sets.

Paper Citation

in Harvard Style

Hallman R., Diallo M., August M. and Graves C. (2018). Homomorphic Encryption for Secure Computation on Big Data.In - SPBDIoT, ISBN , pages 0-0. DOI: 10.5220/0006823203400347

in Bibtex Style

@conference{spbdiot18,
author={Roger A. Hallman and Mamadou H. Diallo and Michael A. August and Christopher T. Graves},
title={Homomorphic Encryption for Secure Computation on Big Data},
booktitle={ - SPBDIoT,},
year={2018},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006823203400347},
isbn={},
}

in EndNote Style

TY - CONF

JO - - SPBDIoT,
TI - Homomorphic Encryption for Secure Computation on Big Data
SN -
AU - Hallman R.
AU - Diallo M.
AU - August M.
AU - Graves C.
PY - 2018
SP - 0
EP - 0
DO - 10.5220/0006823203400347