Detection and Localization of DDoS Attack During Inter-Slice Handover in 5G Network Slicing
Detection and Localization of DDoS Attack During Inter-Slice Handover in 5G Network Slicing
复制标题
DOI：
10.1109/ccnc51644.2023.10060402
复制
发表时间：
2023-01
期刊：
影响因子：
--
通讯作者：
Himanshu Bisht;Moumita Patra;Sathish A. P. Kumar
中科院分区：
文献类型：
--
作者：
Himanshu Bisht;Moumita Patra;Sathish A. P. Kumar
网络切片在支持第五代（5G）移动的网络中起着至关重要的作用，其被设计为有效地适应具有不同服务水平要求的各种服务。在这项工作中，我们的努力主要是为了从分布式拒绝服务（DDoS）攻击的角度揭示5G网络切片中的安全缺陷。切片间切换过程中耗时的身份验证过程被用来发起DDoS攻击。为了解决这个问题，我们提供了新的攻击检测和定位算法。我们比较了平均等待时间和平均切换率的各种组合的结果来检测攻击和本地化受损的用户设备。根据实验结果，我们的方法检测攻击的准确率为91%，识别受感染用户的准确率为96%。
Network slicing plays a crucial role in supporting Fifth Generation (5G) mobile network, which is designed to efficiently accommodate a diverse range of services with varying service level requirements. In this work, our efforts are largely aimed at exposing security flaws in 5G network slicing from a Distributed Denial of Service (DDoS) attack perspective. Time consuming authentication process during the inter-slice handover procedure is exploited to launch a DDoS attack. To address this issue, we offer novel attack detection and localization algorithms. We have compared results for various combinations of average waiting time and average switching rate to detect the attack and localize compromised user equipments. As per experimentation results, our approach resulted in an accuracy of 91% for detecting an attack and 96% for identifying compromised users.