Measuring the effectiveness of SDN mitigations against cyber attacks

Koning, Ralph; Graaff, B. de; Meijer, Robert; Laat, Cees de; Grosso, Paola

doi:10.1109/netsoft.2017.8004231

Cited by 3 publications

(1 citation statement)

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“…Although autonomic management has been identified as the next generation of network management [3], we identify a lack of proposals that adopt the ANM paradigm into an NFV/SDN network infrastructure. In this context, Secure Autonomous Response Networks (SARNET) [5] is a research project that investigates how detection and protection concepts, using NFV-/SDN-based technologies, can provide autonomous protection against various types of cyber attacks [6].…”

Section: Introductionmentioning

confidence: 99%

An Online Algorithm for Dynamic NFV Placement in Cloud-Based Autonomous Response Networks

et al. 2018

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Autonomous response networks are becoming a reality thanks to recent advances in cloud computing, Network Function Virtualization (NFV) and Software-Defined Networking (SDN) technologies. These enhanced networks fully enable autonomous real-time management of virtualized infrastructures. In this context, one of the major challenges is how virtualized network resources can be effectively placed. Although this issue has been addressed before in cloud-based environments, it is not yet completely resolved for the online placement of virtual machines. For such a purpose, this paper proposes an online heuristic algorithm called Topology-Aware Placement of Virtual Network Functions (TAP-VNF) as a low-complexity solution for such dynamic infrastructures. As a complement, we provide a general formulation of the network function placement using the service function chaining concept. Furthermore, two metrics called consolidation and aggregation validate the efficiency of the proposal in the experimental simulations. We have compared our approach with optimal solutions, in terms of consolidation and aggregation ratios, showing a more suitable performance for dynamic cloud-based environments. The obtained results show that TAP-VNF also outperforms existing approaches based on traditional bin packing schemes.

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Section: Introductionmentioning

confidence: 99%