Distributed Dos using Machine Learning

Cerrado Publicado Mar 19, 2016 Pagado a la entrega
Cerrado Pagado a la 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.

Algoritmos Ingeniería Mathlab y Mathematica

Nº del proyecto: #9985066

Sobre el proyecto

5 propuestas Proyecto remoto Activo Apr 25, 2016

5 freelancers están ofertando un promedio de $206 por este trabajo

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. Más

$220 USD en 3 días
(31 comentarios)
5.8
kjgroup197318

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

$250 USD en 3 días
(86 comentarios)
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 Más

$199 USD en 3 días
(9 comentarios)
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 Más

$155 USD en 3 días
(8 comentarios)
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 Más

$200 USD en 10 días
(5 comentarios)
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 Más

$155 USD en 3 días
(0 comentarios)
0.0