Abstract
This paper attempts to find an effective security detection method for EPC through the analysis of LTE EPC model and S1AP. This paper uses fuzzing test techniques to detect security issues in EPC. In order to improve the efficiency of fuzzing test, this paper proposes a state-based mutation method. By using this method and the traditional fuzzing test method to test the S1AP in the OAI system respectively, and comparing the number of crashes of the tested program, it proves that the state-based fuzzing test method is effective.
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References
3GPP. TS.33.401. V.12.9.0-2013. 3GPP System Architecture Evolution (SAE): Security Architecture (Release 12)
3GPP. TR33.821. V.8.0.0-2009. Rationale and Track of Security Decisions in Long Term Evolved (LTE) RAN/3GPP System Architecture Evolution (SAE)
Wei-wen, H.E., Xian-qi, L.U.: S1AP study of LTE system. J. Beijing Union Univ. (Nat. Sci.). 25, 15–18 (2011)
Dababneh, D., St-Hilaire, M., Makaya, C.: Automatic planning of long term evolution evolved packet core networks. In: Network of the Future, pp. 1–5 (2015)
Miller, B.P.: Fuzz revisited: a re-examination of the reliability of unix utilities and services. CS Technical Reports, pp. 1–23 (1995)
Forrester, J., Miller, B.: An empirical study of the robustness of windows NT applications using random testing. In: WSS’00 Proceedings of the 4th Conference on USENIX Windows Systems Symposium. vol. 4, pp. 1–10 (2000).
Miller, B., Cooksey, G., Moore, F.: An empirical study of the robustness of MacOS applications using random testing. In: Proceedings of the International Workshop Random Test, pp. 46–54 (2006).
Xue-xian, P.I., Tao, J., Lin, L., Wei-jun, Z.: Research on a verification simulation model based on finite state machine. Comput. Eng. Sci. 34, 153–156 (2012)
OpenAirInterface: http://www.openairinterface.org/
Acknowledgments
This work is supported by National Natural Science Foundation of China (No. U1536122).
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Li, W., Wu, Q., Cui, B. (2020). State-Based Fuzzing for S1AP. In: Barolli, L., Xhafa, F., Hussain, O. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2019. Advances in Intelligent Systems and Computing, vol 994. Springer, Cham. https://doi.org/10.1007/978-3-030-22263-5_35
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DOI: https://doi.org/10.1007/978-3-030-22263-5_35
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