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Chapters/Conclusions.tex
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@@ -18,13 +18,3 @@ This thesis presented a systematic security analysis of commercial eSIM-on-SIM c
The developed framework integrates trace recording, scenario-driven testing, and property-based structured fuzzing, allowing the systematic mutation and replay of \gls{apdu} traces. The combination of syntactically valid \gls{asn1}-based input generation with deterministic mutation provides a strong fuzzing implementation. Through this approach, several notable implementation differences were identified, including a critical certificate validation bypass in one vendor’s \gls{euicc} side provisioning logic.
These findings highlight the importance of independent verification and validation of \gls{esim} implementations. The observed deviations from \gls{gsma} specifications suggest that even well-established standards do not guarantee uniform security guarantees across vendors. Differential testing, as demonstrated, offers a scalable and automation-friendly approach to detect such inconsistencies without requiring access to proprietary source code.
\section{Future Work}
\label{sec:future_work}
This work can be extended in several directions. First, the \gls{lpa} implementation could be extended to support SGP.31/SGP.32 and SGP.41/SGP.42 specific functionality, enabling testing of \gls{iot}-specific provisioning flows and factory provisioning procedures as soon as implementations become available. Second, to achieve full-loop fuzzing, future versions of the framework could integrate a self-hosted \gls{smdpp} server equipped with test certificates and profiles. This would allow end-to-end testing of the complete \gls{rsp} lifecycle.
Additionally, adding support for proactive commands to the fuzzing engine would enable testing of \gls{euicc} cards that expose only \gls{usat}-based interfaces, such as those from estk.me and 9esim v2. This addition would broaden the scope of the framework, allowing it to address a wider range of commercial \gls{esim} implementations and significantly increase protocol coverage.
Finally, improvements to the fuzzing engine itself, such as incorporating a Hypothesis rule based state machine, would allow direct behavioral comparisons between custom \gls{smdpp} and \gls{euicc} implementations and proprietary systems.