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Artificial Neural Network designed with Tensorflow that classifies UDP data set into DDoS data set and normal traffic data set.
License: MIT License
perceptron-passive-ddos-detection's Introduction
Mobile engineer with 4 years in the industry
Android apps based on Kotlin + Jetpack. CLEAN + modularized apps.
Android app performance optimizations (I can help you out, ping me)
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Ways to prepare data to create pattern tracking models
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perceptron-passive-ddos-detection's Issues
Hi,
Can you please brief about the dataset that you have been used in ann_DDOS attack detection??
thanks,
Hi, i am fairly new to this concept so can you tell me how Only IP address and port number can decide if there is an attack.
Hi my name is Chucho,
I am writing because I would like to use your code to make a real time classifier, indeed I am figuring out a way to understand how you had normalized the IP adress in the text "test_data_udp". Also, it will be very kind of you if you can explain me how the files "IPtrain_label_udp.txt" and "test_label_udp.txt" work.
Hello, under what license is this project released under ? Thank-you.
how can we say if there is DDOS attack only by seeing IP and port number