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Authors: Sébastien Salva and Jarod Sue

Affiliation: LIMOS - UMR CNRS 6158, Clermont Auvergne University, UCA, France

Keyword(s): RESTful APIs, Security, Software Healing, LLM.

Abstract: This paper presents a novel self-healing approach for RESTful services, leveraging the capabilities of large language models (LLMs) to generate source code that implement fine-grained mitigations. The proposed solution introduces 18 healing operators tailored for RESTful services, accommodating both grey-box and black-box perspectives. These operators implement a dual-mitigation strategy. The first mitigation employs encapsulation techniques, enabling dynamic service adaptation by generating supplementary source code without modifying the original implementation. If the primary mitigation fails, a fallback mitigation is applied to maintain service continuity. We investigate the potential of LLMs to perform the first mitigation of these healing operators by means of chains of prompts we specifically designed for these tasks. Furthermore, we introduce a novel metric that integrates test-passing correctness and LLM confidence, providing a rigorous evaluation framework for the effectiven ess of the mitigations performed by LLMs. Preliminary experiments using four healing operators on 15 RESTful services with various and multiple vulnerabilities demonstrate the approach feasibility and adaptability across both grey-box and black-box perspectives. (More)

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Paper citation in several formats:
Salva, S., Sue and J. (2025). Dynamic Mitigation of RESTful Service Failures Using LLMs. In Proceedings of the 20th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-757-3; ISSN 2184-2833, SciTePress, pages 27-38. DOI: 10.5220/0013460700003964

@conference{icsoft25,
author={Sébastien Salva and Jarod Sue},
title={Dynamic Mitigation of RESTful Service Failures Using LLMs},
booktitle={Proceedings of the 20th International Conference on Software Technologies - ICSOFT},
year={2025},
pages={27-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013460700003964},
isbn={978-989-758-757-3},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Software Technologies - ICSOFT
TI - Dynamic Mitigation of RESTful Service Failures Using LLMs
SN - 978-989-758-757-3
IS - 2184-2833
AU - Salva, S.
AU - Sue, J.
PY - 2025
SP - 27
EP - 38
DO - 10.5220/0013460700003964
PB - SciTePress

- Science and Technology Publications, Lda.
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