Analysis of DDoS Detection Mitigation in Spine Leaf Networks

Analysis of DDoS Detection Mitigation in Spine Leaf Networks

Performance Analysis of DDoS Detection and Mitigation in Spine Leaf Networks

Implementation Plan:
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Step 1: Initially, we create a Software defined network (SDN), it consists of 20-Leaf Nodes, 4-Spin Switches and 1 Controller [RYU controller].

Step 2: Next, we generate both normal and attack traffic and a data collection process will be done.

Step 3: Next we Train the model by MLP algorithm using the result.csv file and test with the flow statistics.

Step 4: Next, We will classify and predict the Output.

[The process based on your requirement]

Step 5: Finally, plot the results for Latency, Throughput, Accuracy and Resource Utilization.

S/W requirement:
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Development tools:
1) Mininet-2.0 or Above Version
2) Python-2.7 or Above version
3) Wireshark [If needed]
Operating System:
Ubuntu-16.04 LTS (32 bit) or Above version

Note: –
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1. If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.

2. Please note that this implementation plan does not include any further steps after it is put into implementation.

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Related Pages

Workflow

YouTube Channel

Unlimited Network Simulation Results available here.

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