ljb95729

ljb95729's Stars

• zhangmenghao/FTGuard

  Floodlight SDN OpenFlow Controller

  Language:Java42

• p76091349/Traffic-aware-separating-flow-scheduling-framework-in-SDN-based-data-center-network

  Language:Python5

• efcastillo7/intelligentProbing

  IntelligentProbing is based on the Knowledge-Defined Networking (KDN) \cite{mestres_2017:KDN} paradigm that allows to apply Machine Learning (ML) techniques in SDN. We argue that an ML-based optimization of probing frequency can keep monitoring overhead within a target value while minimizing performance degradation and providing high monitoring accuracy.

  Language:Python93

• ederlf/paper-sigsim-pads-18

  Repository to reproduce the experiments of the paper An SDN-inspired Model for Faster Network Experimentation

  Language:Python11

• MinhazRaufoon/Thesis---Fast-Failover-in-SDN

  Language:Python1

• Bhavanaashok33/queue_management-and-bandwidth-control-sdn

  Language:Python21

• noironetworks/acc-provision

  Tool for provisioning Cisco ACI APIC to integrate with Container Orchestration systems, and generating CNI Plugin Containers' deployment configuration.

  Language:Python2314

• ATMoS-Waterloo/ATMoS

  Security management in SDN using Reinforcement Learning

  Language:Python128

• ExploreIntelligence/SmartGrid

  Topology configuration in the paper "Dataplane Based Fast Failover in SDN-Enabled Wide Area Measurement System of Smart Grid"

  Language:MATLAB3

• gundoganalperen/SDN

  Software-defined Networking "Implementation of measurement-based QoS mechanisms"

  Language:Python54

• aous72/low_latency_high_throughput

  Low Latency High Throughput Chapter 6 Code

  Language:Python31

• liuweiyu/RandomHostMutationBasedonOpenFlow

  Static configurations, especially IP addresses, give the adversaries great opportunities to discover network targets and then launch attacks. Frequently changing hosts’ IP addresses to hide their real ones is a novel method to solve this problem. A recent paper OpenFlow Random Host Mutation: Transparent Moving Target Defense using Software Defined Networking specified this new proactive moving target defense. In this assignment, I implement a simple model to replicate the result of this paper based on Mininet network emulation environment, OpenFlow architecture and protocol, and SDN technique. This report includes three major parts: the design of the controller, the implementation of my method, and discussion about the advantages and disadvantages of my approach.

  85

• Ali00/SDN-Restoration

  Language:Python11

• harmjan/l2-router

  A proactive scheduling layer 2 router for the ryu SDN controller

  Language:Python32

• john0945/proactive-failover

  ONOS application to implement proactive restoration using OpenFlow's fast failover groups. Based off of ONOS's segment routing application.

  Language:Java11

• nsg-ethz/minigenerator

  Simple udp/tcp traffic generator for mininet-based prototypes

  Language:Python42

• simon-jouet/sdnscore

  Language:Python1

• souvikdas95/SDN_VideoStreaming

  To test Video Streaming Quality over SDN

  Language:Python83

• OpenState-SDN/ryu

  OpenState controller implementation based on osrg/ryu

  Language:Python3522

• dariobanfi/multipath-sdn-controller

  🎛 Multipath Software Defined Networking Controller which sets up multipath forwarding tables and adjusts them based on network measurements

  Language:Python5322

• nisha077/ARP-SDN-Dataset

  Language:Python5

• Niyati-Chhatwal/SDN--Observing-Flow-Table-Overflows

  Language:Python1

• ymlwww/sdnflowtableinfer

  Codes for INFOCOM2020: Flow Table Security in SDN: Adversarial Reconnaissance and Intelligent Attacks.

  Language:MATLAB3

• muzixing/ryu

  Li Cheng's self-defined Ryu.

  Language:Python257176

• hakasapl/ryu_load_balancer

  OpenFlow SDN Load Balancer using the RYU controller

  Language:Python5

• thuml/Nonstationary_Transformers

  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

  Language:Python45774

• knowledgedefinednetworking/a-deep-rl-approach-for-sdn-routing-optimization

  A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

  Language:Python27298

• smythtech/sdnpwn

  An SDN penetration testing toolkit

  Language:Python11647

• mohammad59mt/active_link_monitoring

  Language:Python2

• ymketw/SDNProbe

  SDNProbe: A Lightweight Tool for Securing SDN Data Plane with Active Probing

  Language:Python5