Robust and Agile System against Fault and Anomaly Traffic in Software Defined Networks-Reference-Cited by-同舟云学术

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Robust and Agile System against Fault and Anomaly Traffic in Software Defined Networks

Published:2017-03-08 Issue:3 Volume:7 Page:266
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Kim Mihui^ORCID,Park Younghee,Kotalwar Rohit

Funder

NSF

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

http://www.mdpi.com/2076-3417/7/3/266/pdf

Reference55 articles.

1. Security in Software Defined Networks: A Survey

2. Delivering High Availability in Carrier Grade NFV Infrastructures,2016

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1. A Machine Learning-Based Anomaly Prediction Service for Software-Defined Networks;Sensors;2022-11-02

2. Towards Detection and Mitigation of Traffic Anomalies in SDN;2021 International Conference on Information and Communication Technology Convergence (ICTC);2021-10-20

3. Enhanced Bit Repair IP Fast Reroute Mechanism for Rapid Network Recovery;Applied Sciences;2021-04-01

4. SmartX Multi-View Visibility Framework with Flow-Centric Visibility for SDN-Enabled Multisite Cloud Playground;Applied Sciences;2019-05-17

5. A comprehensive survey of security threats and their mitigation techniques for next‐generation SDN controllers;Concurrency and Computation: Practice and Experience;2019-04-17

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