@inproceedings{0f0367e21bba4d16982adaacb49652d7,
title = "A fast hybrid data encryption for FPGA based edge computing",
abstract = "Recently, the Internet of Things (IoT) has been widely employed in industrial field for data collection and control application based on edge computing. The data security during storage and communication is one of the most concern in industrial system for safety. While the single security strategy and low data throughput of present data security system in embedded platform is hard to meet the increasing requirements, especially in high performance edge computing platform, such as FPGA based embedded platform. Therefore, in this paper, a fast hybrid data encryption is designed and implementation in an FPGA to enhance the data security and throughput, by combining Advanced Encryption Standard (AES) encryption and Message Digest (MD5) encryption with a customized high parallel computation. Experimental results with the National Laboratory for Information Science and Technology dataset in a heterogeneous FPGA show that the proposed mixed encryption implementation can realized the data encryption with a high throughput for the security in edge computing application.",
keywords = "AES, Data encryption, Edge computing, MD5",
author = "Liu Shengiian and Yu Ximing and Ji Senzhan and Peng Yu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019 ; Conference date: 01-11-2019 Through 03-11-2019",
year = "2019",
month = nov,
doi = "10.1109/ICEMI46757.2019.9101802",
language = "英语",
series = "2019 14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1820--1827",
editor = "Juan Wu and Jiali Yin and Zhang Qi",
booktitle = "2019 14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019",
address = "美国",
}