loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Newton Will 1 and Carlos Maziero 2

Affiliations: 1 Computer Science Department, Federal University of Technology, Paraná, Dois Vizinhos, Brazil ; 2 Computer Science Department, Federal University of Paraná, Curitiba, Brazil

Keyword(s): Intel SGX, Programming Models, Software Architecture, Performance, Resource Optimization.

Abstract: Data confidentiality is becoming increasingly important to computer users, both in corporate and personal environments. In this sense, there are several solutions proposed to maintain the confidentiality and integrity of such data, among them the Intel Software Guard Extensions (SGX) architecture. The use of such mechanisms to provide confidentiality and integrity for sensitive data imposes a performance cost on the application execution, due to the restrictions and checks imposed by the Intel SGX architecture. Thus, the efficient use of SGX enclaves requires some management. The present work presents two management models for using SGX enclaves: (i) enclave sharing; and (ii) enclave pool. In order to apply such models, an enclave provider architecture is proposed, offering a decoupling between the enclave and the application, allowing to apply the proposed management models and offering the resources provided by the enclaves to the applications through an “as a service” approach. A prototype was built to evaluate the proposed architecture and management models; the experiments demonstrated a considerable reduction in the performance impact for enclave allocation, while guaranteeing good response times to satisfy simultaneous requests. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.140.242.165

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Will, N. and Maziero, C. (2024). Enclave Management Models for Safe Execution of Software Components. In Proceedings of the 10th International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-683-5; ISSN 2184-4356, SciTePress, pages 474-485. DOI: 10.5220/0012322600003648

@conference{icissp24,
author={Newton Will. and Carlos Maziero.},
title={Enclave Management Models for Safe Execution of Software Components},
booktitle={Proceedings of the 10th International Conference on Information Systems Security and Privacy - ICISSP},
year={2024},
pages={474-485},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012322600003648},
isbn={978-989-758-683-5},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Information Systems Security and Privacy - ICISSP
TI - Enclave Management Models for Safe Execution of Software Components
SN - 978-989-758-683-5
IS - 2184-4356
AU - Will, N.
AU - Maziero, C.
PY - 2024
SP - 474
EP - 485
DO - 10.5220/0012322600003648
PB - SciTePress