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Towards the transversal detection of DDoS network attacks in 5G multi-tenant overlay networks

机译:面向5G多租户覆盖网络中DDoS网络攻击的横向检测

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摘要

Currently, there is no any effective security solution which can detect cyber-attacks against 5G networks where multitenancy and user mobility are some unique characteristics that impose significant challenges over such security solutions. This paper focuses on addressing a transversal detection system to be able to protect at the same time, infrastructures, tenants and 5G users in both edge and core network segments of the 5G multi-tenant infrastructures. A novel approach which significantly extends the capabilities of a commonly used IDS, to accurately identify attacking nodes in a 5G network, regardless of multiple network traffic encapsulations, has been proposed in this paper. The proposed approach is suitable to be deployed in almost all 5G network segments including the Mobile Edge Computing. Both architectural design and data models are described in this contribution. Empirical experiments have been carried out a realistic 5G multi-tenant infrastructures to intensively validate the design of the proposed approach regarding scalability and flexibility. (C) 2018 Elsevier Ltd. All rights reserved.
机译:当前,没有任何有效的安全解决方案可以检测到针对5G网络的网络攻击,而多租户和用户移动性是一些独特的特征,这些特征给此类安全解决方案带来了巨大挑战。本文重点介绍了一种能够同时保护5G多租户基础设施的边缘和核心网段中的基础设施,租户和5G用户的横向检测系统。本文提出了一种新颖的方法,该方法显着扩展了常用IDS的功能,可以准确识别5G网络中的攻击节点,而无需考虑多个网络流量封装。所提出的方法适用于几乎所有5G网络部分,包括移动边缘计算。此贡献中描述了体系结构设计和数据模型。已经进行了现实的5G多租户基础设施实验研究,以密集验证所提出方法的可扩展性和灵活性。 (C)2018 Elsevier Ltd.保留所有权利。

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