A framework for SFC integrity in NFV environments

Part 6: Ph.D. Track: Methods for the Protection of Infrastructure and ServicesInternational audienceIndustry and academia have increased the deployment of Network Functions Virtualization (NFV) on their environments, either for reducing expenditures or taking advantage of NFV flexibility for service provisioning. In NFV, Service Function Chainings (SFC) composed of Virtualized Network Functions (VNF) are defined to deliver services to different customers. Despite the advancements in SFC composition for service provisioning, there is still a lack of proposals for ensuring the integrity of NFV service delivery, i.e., detecting anomalies in SFC operation. Such anomalies could indicate a series of different threats, such as DDoS attacks, information leakage, and unauthorized access. In this PhD, we propose a framework composed of an SFC Integrity Module (SIM) for the standard NFV architecture, providing the integration of anomaly detection mechanisms to NFV orchestrators. We present recent results of this PhD regarding the implementation of an entropy-based anomaly detection mechanism using the SIM framework. The results presented in this paper are based on the execution of the proposed mechanism using a realistic SFC data set

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

© 2018 Elsevier Ltd 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