Abstract
By analyzing the NGAP protocol of 5G core network, we study the protocol format and find an effective security detection method. In this paper, Fuzzing technique is used to detect the security flaws in NGAP protocol of 5G core network. In order to improve the efficiency of Fuzzing, a selection mutation algorithms based on partition weight table is proposed. In the actual test we test NGAP protocol in 5G core network to test and use our proposed new algorithm in Fuzzing technique and find the security problem of NGAP protocol. Finally, we can prove that the selection of mutation algorithms based on the partition weight table is effective by counting the variation samples and calculating the increase in the probability of triggering anomalies in the target network elements after using the algorithm compared to before using the algorithm.
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Hu, Y., Yang, W., Cui, B., Zhou, X., Mao, Z., Wang, Y. (2022). Fuzzing Method Based on Selection Mutation of Partition Weight Table for 5G Core Network NGAP Protocol. In: Barolli, L., Yim, K., Chen, HC. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2021. Lecture Notes in Networks and Systems, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-79728-7_15
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DOI: https://doi.org/10.1007/978-3-030-79728-7_15
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Online ISBN: 978-3-030-79728-7
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