Distributed Dos using Machine Learning

Encerrado Postado Mar 19, 2016 Pago na entrega
Encerrado Pago na entrega

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.

Algoritmo Engenharia Matlab and Mathematica

ID do Projeto: #9985066

Sobre o projeto

5 propostas Projeto remoto Ativo em Apr 25, 2016

5 freelancers estão ofertando em média $206 nesse trabalho

Yknox

Hello I'm interesting your project very well I'm a Good Matlab, Machine Learning, Math, Algorithm expert. I m quite well experienced in these jobs. Let's go ahead with me I want to service for you continously. Mais

$220 USD in 3 dias
(31 Comentários)
5.8
kjgroup197318

-------------------Nice job. I am matlab expert. No problem. Best result in time------------------------------------

$250 USD in 3 dias
(86 Comentários)
6.2
DanielVizcaya91

Hello there, I would love to help you out with this project. I have a lot of experience with data mining and machine learning algorithms so I know I have all the skills to achieve what you are looking for. Can I know w Mais

$199 USD in 3 dias
(9 Comentários)
4.5
sabirshah4545

We have a team of expert and we can help you in doing your project such as writing, technical writing, Engineering, PCB designing, FPGA, Verilog /VHDL, MATLAB, Mathematics, Calculus, SPSS, Statistic, CUDA, OpenGL, Patt Mais

$155 USD in 3 dias
(8 Comentários)
4.0
joe2016

We are highly experienced IT Professionals, Software Developers, Web Designers and IT Architects. We work in PHP, JAVA, ASP, DOT NET, Prestashop, Magento, woo commerce, OSCommerce, WordPress, Joomla, Web Hosting Pa Mais

$200 USD in 10 dias
(5 Comentários)
3.6
techfinity2

Hello Sir/Madam, We have gone through the details you have provided and we have already worked on a similar project before and can deliver as u have mentioned and would be pleased to work on this with you to deliver th Mais

$155 USD in 3 dias
(0 Comentários)
0.0