Abstract
Nowadays, Hackers are everywhere. Current information systems often suffer from attacks anytime. Also, 5G network have gradually entered human lives to satisfy our network-service needs. At present, without human intervention, 5G networks still lack tools to automatically detect attacks and identify flash events. Many scholars and experts have proposed mechanisms to defend DDoS attacks, including detecting attacks and mitigating the damage caused by attacks. However, there is no security mechanism to defend DDoS attacks in the 5G networks. In other words, the existing defense systems cannot effectively protect 5G users and their infrastructures. Therefore, in this research, we present a system called Detection and Defense of DDoS on 5G (DDD5G for short), which uses the average entropy generated at different time intervals as the threshold, and then compares it with the entropy of current traffic. After simulating on MiniNet, we confirm that DDD5G detect simultaneous attacks, i.e., it can effectively self-detect and defend DDoS attacks without human intervention.
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Acknowledgments
This study is financial support in part by Ministry of Science and Technology, Taiwan under the grants MOST 108-2221-E-029-009 and MOST 109-2221-E-029-017-MY2.
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Chiu, ST., Susanto, H., Leu, FY. (2022). Detection and Defense of DDoS Attack and Flash Events by Using Shannon Entropy. In: Barolli, L. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2022. Lecture Notes in Networks and Systems, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-031-08819-3_32
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DOI: https://doi.org/10.1007/978-3-031-08819-3_32
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