An effective TCP SYN DDoS attack detection model

Title: - An effective TCP SYN DDoS attack detection model
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Implementation Plan:
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Step 1: Initially, We created a Network, it consists of 20- Sensor/ Devices, 4- Switches and 1- RYU Controller.

Step 2: Next, Load the dataset [ CICDDoS2019], and perform the preprocessing to remove the noise data. and also generate the random datas based on simulation execution.

Step 3: Next, Perform the data classification by using Multilayer Perceptrons (MLPs) and Gated Recurrent Unit (GRU), based on the classification to detect the TCP SYN DDoS attack.

Step 4: Next, Perform the data transmission.

[The process based on your requirement ]

Step 5: Finally, Plot the results graph for, accuracy and precision, recall, F1-score,time and computational overhead.

s/w requirement:
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1)mininet-2.0
2)python-2.7
3)ubuntu-14.04 LTS (32 bit)

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Note:-
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1) Send the dataset [ CICDDoS2019] file to implement the process.

2) Send the existing models process to implement for the comparison, we develop the two project s ,one based on proposed process and another one based on existing, in finally we provide the two individual results only, based on it you can make a comparison in manually.
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#ddosattack
#machinlearning
#cybersecurity
#networksecurity
#datasecurity
#pythoncode
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