Distributed DoS using Machine learning techniques

$30-250 USD

In Progress

Posted

about 8 years ago

$30-250 USD

Paid on delivery

I want to use Machine Learning Algorithms to detect network anomaly, to achieve high detection accuracy, low false positive rate, to model the network basis behavioural analysis and testing on various datasets.

Algorithm

Engineering

Machine Learning (ML)

Matlab and Mathematica

Project ID: 9984744

About the project

4 proposals

Remote project

Active 8 yrs ago

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4 freelancers are bidding on average $243 USD for this job

@TheAVashe

hi! the project requires 5-7 days. we can employ classification and regression analysis to determine the DoS attacks. I'll help create a simulation in MATLAB. do you have anything else to add? myself: research student in data science specializing in machine learning methods and soft computing. message me when free. thank you.

$210 USD in 5 days

4.9

(16 reviews)

4.4

@longmaisg

Hello, I am in Master course, my major is Network security using Machine Learning, so I am very familiar with anomaly detection. I have work with it for a long time.

$250 USD in 30 days