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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.

Evner: Machine Learning (ML), Computer Sikkerhed, Python, Statistikker, Deep Learning

Om arbejdsgiveren:
( 6 bedømmelser ) Manchester, United Kingdom

Projekt ID: #32654520

Tildelt til:


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 Flere

$150 USD in 4 dage
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16 freelancere byder i gennemsnit $164 timen for dette job


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$250 USD in 3 dage
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$140 USD in 3 dage
(28 bedømmelser)
(41 bedømmelser)

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$100 USD på 1 dag
(16 bedømmelser)

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$100 USD in 6 dage
(30 bedømmelser)

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 Flere

$200 USD in 7 dage
(20 bedømmelser)

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$140 USD in 7 dage
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$200 USD in 10 dage
(21 bedømmelser)

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 Flere

$250 USD in 7 dage
(9 bedømmelser)

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$140 USD på 1 dag
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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 Flere

$140 USD in 5 dage
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