@inproceedings{0cc7e879189242329d126adfba2e4aa8,
title = "SafeDB: Spark acceleration on FPGA clouds with enclaved data processing and bitstream protection",
abstract = "This paper proposes SafeDB: Spark Acceleration on FPGA Clouds with Enclaved Data Processing and Bitstream Protection. SafeDB provides a comprehensive and systematic hardware-based security framework from the bitstream protection to data confidentiality, especially for the cloud environment. The AES key shared between FPGA and client for the bitstream encryption is generated in hard-wired logic using PKI and ECC. The data security is assured by the enclaved processing with encrypted data, meaning that the encrypted data is processed inside the FPGA fabric. Thus, no one in the system is able to look into clients' data because plaintext data are not exposed to memory and/or memory-mapped space. SafeDB is resistant not only to the side channel attack but to the attacks from malicious insiders. We have constructed an 8-node cluster prototype with Zynq UltraScale+ FPGAs to demonstrate the security, performance, and practicability.",
keywords = "Bitstream protection, Enclaved dataprocessing, FPGA as a service, Spark big data processing",
author = "Kim, {Han Yee} and Rohyoung Myung and Boeui Hong and Heonchang Yu and Taeweon Suh and Lei Xu and Weidong Shi",
note = "Funding Information: ACKNOWLEDGMENT This work was partially supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No.2019-0-00533, Research on CPU vulnerability detection and validation). *Correspondence to: Taeweon Suh. Funding Information: This work was partially supported by Institute of Information &communications Technology Planning &Evaluation (IITP) grant funded by the Korea government(MSIT) (No.2019-0-00533, Research on CPU vulnerability detection and validation). Publisher Copyright: {\textcopyright} 2019 IEEE.; 12th IEEE International Conference on Cloud Computing, CLOUD 2019 ; Conference date: 08-07-2019 Through 13-07-2019",
year = "2019",
month = jul,
doi = "10.1109/CLOUD.2019.00029",
language = "English",
series = "IEEE International Conference on Cloud Computing, CLOUD",
publisher = "IEEE Computer Society",
pages = "107--114",
editor = "Elisa Bertino and Chang, {Carl K.} and Peter Chen and Ernesto Damiani and Michael Goul and Katsunori Oyama",
booktitle = "Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services",
}