Em Andamento

Identify malware and non-malware traffic using Machine Learning or deep learning

I will provide JSON files with the extracted features (I will extract these from the pcap files). The features will be from malware and non-malware traffic, so the idea is to detect and classify the malware and non-malware samples. The feature selection should be done two ways: Manual and automated and we should be able to clearly identify the features that are being used and which features work well, and which features do not work well. As there are multiple datasets, we should be able to identify the features that work well across all the datasets. There are different versions of the malware, so we need to clearly identify which features work well across all these malware versions. The manual feature selection should allow me to select which features I want to use for the classification., The automated feature selection can be done using algorithms such as CFS, ANOVA and another one that we can agree on. We must be able to feed into the model a brand-new dataset for testing.

Test and train 5 ML algorithms (supervised and one unsupervised) using classification and multiclass classification algorithms. The ML should be able to classify Botnets (malware) and normal traffic across various datasets and across different variants of the Bot (Malware). Measure the accuracy and so on using statistical calculation (Tables and graphical). The data will need to be analysed and appropriate graphs produced to help visualise the data. We can agree what statistical data to include to measure accuracy.

Habilidades: Machine Learning (ML), Segurança de computadores, Python, Estatísticas, Deep Learning

Acerca do Empregador:
( 6 comentários ) Manchester, United Kingdom

ID do Projeto: #32654520

Concedido a:

techcrunch1304S

Hi, I'm Computer Science Student with a major in machine learning. I can identify malware/non malware traffic and perform feature selection should be done two ways: Manual and automated. And then I will apply various c Mais

$150 USD em 4 dias
(3 Comentários)
2.2

16 freelancers estão ofertando em média $164 nesse trabalho

liveexperts123

Hi there,I'm biddin on your project "Identify malware and non-malware traffic using Machine Learning or deep learning" I have read your project description and i'm an expert in Machine learning/Python/C++/Java and Data Mais

$250 USD in 3 dias
(34 Comentários)
6.7
shashaev96

Master in Machine Learning and Software Developing️ Hello, I hope you are safe and Doing well I have seen your project requirements, I am looking to discuss them further with you Hope we will meet soon to discuss furt Mais

$140 USD in 3 dias
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5.4
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5.3
varimaxanalytic

Hello, I am professional freelancer with a Master's degree in Data analytics making me a suitable person for your project. I have more than 8 years of professional experience in Data analysis. Besides, I have skills i Mais

$100 USD em 1 dia
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5.0
Valuesolutions

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$100 USD in 6 dias
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6.0
hamzabenoumaia

Hello, I have worked on malware classification models for other clients and I have acquired reasonable experience in this topic, I can build and train different models and do feature selection based the mentioned appro Mais

$200 USD in 7 dias
(20 Comentários)
5.1
sajjadtaghvaeifr

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5.2
loopsatomic

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$200 USD in 10 dias
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4.3
segredominic

Hello. I’m interested in working on your machine learning project. I’m an experienced AI/ML engineer and I’ve completed several projects related to malware classification, software defect detection. I write python and Mais

$250 USD in 7 dias
(9 Comentários)
4.0
atrashkorus

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3.1
evgeniyvc

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yinshu2020

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2.4
vladilavsuhovoy1

Hi! I am skilled Python coder. I am familiar with Python and I have a lot of work experiences in Computer Security, Deep Learning, Machine Learning (ML), Statistics and Python. I can start right away. I want to discu Mais

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mirzhanurazalin

Hello thanks for sharing i m working with this project 2 weeks, I can give you demo version of my work.

$140 USD em 1 dia
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lfcai

I'm a machine learning engineer who have 3 years industry experience on ML and DL. It is typical classification problem. We will train models using TensorFlow with 5 models (4 supervised and 1 unsupervised) based on Mais

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