A Survey of Trusted Computing Solutions Using FPGAs

Paul Rosero; Zsolt István; Wilmar Hernandez

doi:10.1109/ACCESS.2023.3261802

A Survey of Trusted Computing Solutions Using FPGAs

Paul Rosero, Zsolt István, Wilmar Hernandez

Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review

Abstract

Ensuring the security and privacy of computation and data management in the cloud and edge is an ever-important requirement. There are several working solutions today for trusted computing with general purpose processors, for instance, Intel SGX and ARM TrustZone. However, with the widespread commercial adoption of specialized hardware accelerators in the cloud and at the edge, most importantly FPGAs, two questions emerge: 1) How secure are they against threats? and 2) How could FPGAs be utilized for more efficient trusted computing? In this survey, we investigate these two questions precisely. Even though there have been numerous surveys in the past on the security of FPGAs, we believe it is timely to study the space of related work again, given the large number of data-centric applications aimed at targeting trusted execution environments that have recently appeared. Therefore, in addition to presenting an overview of state of the art, we also highlight some opportunities for FPGAs in the context of providing efficient trusted computation.

Original language	English
Journal	IEEE Access
ISSN	2169-3536
DOIs	https://doi.org/10.1109/ACCESS.2023.3261802
Publication status	Published - 24 Mar 2023

Access to Document

10.1109/ACCESS.2023.3261802

https://ieeexplore.ieee.org/abstract/document/10080920Licence: CC BY

1 Article in proceedings

A Survey on Security Concerns and Their Actual Solutions for using FPGAs in Cloud Computing
Rosero, P., 2 Nov 2021, Latin America Congress on Computational Intelligence (LA-CCI). IEEE
Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Cite this

@article{c301cc92a2194cdbaefaa53dd250e39b,

title = "A Survey of Trusted Computing Solutions Using FPGAs",

abstract = "Ensuring the security and privacy of computation and data management in the cloud and edge is an ever-important requirement. There are several working solutions today for trusted computing with general purpose processors, for instance, Intel SGX and ARM TrustZone. However, with the widespread commercial adoption of specialized hardware accelerators in the cloud and at the edge, most importantly FPGAs, two questions emerge: 1) How secure are they against threats? and 2) How could FPGAs be utilized for more efficient trusted computing? In this survey, we investigate these two questions precisely. Even though there have been numerous surveys in the past on the security of FPGAs, we believe it is timely to study the space of related work again, given the large number of data-centric applications aimed at targeting trusted execution environments that have recently appeared. Therefore, in addition to presenting an overview of state of the art, we also highlight some opportunities for FPGAs in the context of providing efficient trusted computation.",

author = "Paul Rosero and Zsolt Istv{\'a}n and Wilmar Hernandez",

year = "2023",

month = mar,

day = "24",

doi = "10.1109/ACCESS.2023.3261802",

language = "English",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "Institute of Electrical and Electronics Engineers",

}

TY - JOUR

T1 - A Survey of Trusted Computing Solutions Using FPGAs

AU - Rosero, Paul

AU - István, Zsolt

AU - Hernandez, Wilmar

PY - 2023/3/24

Y1 - 2023/3/24

N2 - Ensuring the security and privacy of computation and data management in the cloud and edge is an ever-important requirement. There are several working solutions today for trusted computing with general purpose processors, for instance, Intel SGX and ARM TrustZone. However, with the widespread commercial adoption of specialized hardware accelerators in the cloud and at the edge, most importantly FPGAs, two questions emerge: 1) How secure are they against threats? and 2) How could FPGAs be utilized for more efficient trusted computing? In this survey, we investigate these two questions precisely. Even though there have been numerous surveys in the past on the security of FPGAs, we believe it is timely to study the space of related work again, given the large number of data-centric applications aimed at targeting trusted execution environments that have recently appeared. Therefore, in addition to presenting an overview of state of the art, we also highlight some opportunities for FPGAs in the context of providing efficient trusted computation.

AB - Ensuring the security and privacy of computation and data management in the cloud and edge is an ever-important requirement. There are several working solutions today for trusted computing with general purpose processors, for instance, Intel SGX and ARM TrustZone. However, with the widespread commercial adoption of specialized hardware accelerators in the cloud and at the edge, most importantly FPGAs, two questions emerge: 1) How secure are they against threats? and 2) How could FPGAs be utilized for more efficient trusted computing? In this survey, we investigate these two questions precisely. Even though there have been numerous surveys in the past on the security of FPGAs, we believe it is timely to study the space of related work again, given the large number of data-centric applications aimed at targeting trusted execution environments that have recently appeared. Therefore, in addition to presenting an overview of state of the art, we also highlight some opportunities for FPGAs in the context of providing efficient trusted computation.

U2 - 10.1109/ACCESS.2023.3261802

DO - 10.1109/ACCESS.2023.3261802

M3 - Journal article

SN - 2169-3536

JO - IEEE Access

JF - IEEE Access

ER -

A Survey of Trusted Computing Solutions Using FPGAs

Abstract

Access to Document

Fingerprint

Research output

A Survey on Security Concerns and Their Actual Solutions for using FPGAs in Cloud Computing

Cite this