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Autores principales: Marangone, Edoardo, Nemmi, Eugenio Nerio, Friolo, Daniele, Ateniese, Giuseppe, Weber, Ingo, Di Ciccio, Claudio
Formato: Preprint
Publicado: 2025
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Acceso en línea:https://arxiv.org/abs/2509.02413
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author Marangone, Edoardo
Nemmi, Eugenio Nerio
Friolo, Daniele
Ateniese, Giuseppe
Weber, Ingo
Di Ciccio, Claudio
author_facet Marangone, Edoardo
Nemmi, Eugenio Nerio
Friolo, Daniele
Ateniese, Giuseppe
Weber, Ingo
Di Ciccio, Claudio
contents Decision support systems are increasingly adopted to automate decision-making processes across industries, organizations, and governments. Decision support demands data privacy, integrity, and availability while ensuring customization, security, and verifiability of the decision process. Existing solutions fail to guarantee those properties altogether. To overcome this limitation, we propose SPARTA, an approach based on Trusted Execution Environments (TEEs) that automates decision processes. To guarantee privacy, integrity, and availability, SPARTA employs efficient cryptographic techniques on notarized data with access mediated through user-defined access policies. Our solution allows users to define decision rules, which are translated to certified software objects deployed within TEEs, thereby guaranteeing customization, verifiability, and security of the process. With experiments run on public benchmarks and synthetic data, we show our approach is scalable and adds limited overhead compared to non-cryptographically secured solutions.
format Preprint
id arxiv_https___arxiv_org_abs_2509_02413
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Secure, Confidential, and Verifiable Decision Support System
Marangone, Edoardo
Nemmi, Eugenio Nerio
Friolo, Daniele
Ateniese, Giuseppe
Weber, Ingo
Di Ciccio, Claudio
Cryptography and Security
Decision support systems are increasingly adopted to automate decision-making processes across industries, organizations, and governments. Decision support demands data privacy, integrity, and availability while ensuring customization, security, and verifiability of the decision process. Existing solutions fail to guarantee those properties altogether. To overcome this limitation, we propose SPARTA, an approach based on Trusted Execution Environments (TEEs) that automates decision processes. To guarantee privacy, integrity, and availability, SPARTA employs efficient cryptographic techniques on notarized data with access mediated through user-defined access policies. Our solution allows users to define decision rules, which are translated to certified software objects deployed within TEEs, thereby guaranteeing customization, verifiability, and security of the process. With experiments run on public benchmarks and synthetic data, we show our approach is scalable and adds limited overhead compared to non-cryptographically secured solutions.
title A Secure, Confidential, and Verifiable Decision Support System
topic Cryptography and Security
url https://arxiv.org/abs/2509.02413