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perceptron-passive-ddos-detection's Introduction

Mobile engineer with 4 years in the industry

๐Ÿ”ญ I specialize in

  • Android apps based on Kotlin + Jetpack. CLEAN + modularized apps.
  • Android app performance optimizations (I can help you out, ping me)

Stats

๐ŸŒฑ Currently learning

  • Building app servers using Flask, Kafka, Mongo & Postgres
  • Trying to catch up on computer vision during weekends
  • Web3 (I know enough to say I know nothing)

๐Ÿ‘ฏ Let's discuss

  • Finance, Markets ๐Ÿ“ˆ๐Ÿ“ˆ๐Ÿ“ˆ
  • Ways to prepare data to create pattern tracking models
  • Why do we exist ๐Ÿป

๐Ÿ“ซ How to reach me:

โšก Fun fact:

  • You sleep for an aggregate of 4 months for every 1 year lifespan spent. It's important to go slow to go long.

perceptron-passive-ddos-detection's People

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perceptron-passive-ddos-detection's Issues

description about dataset

Hi,
Can you please brief about the dataset that you have been used in ann_DDOS attack detection??
thanks,

small doubt regarding input

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.

A consult for my project

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.

License ?

Hello, under what license is this project released under ? Thank-you.

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