deepNOID VS DeepMalwareDetector

Compare deepNOID vs DeepMalwareDetector and see what are their differences.

deepNOID

deepNOID, the binary music genre classifier which determines if what you're listening to really is NOIDED (by EoinM96)
#Deep Learning #Lstm #Music #music-genre-classification #Rnn #Tensorflow2 #Keras #pycharm
Source Code

DeepMalwareDetector

A Deep Learning framework that analyses Windows PE files to detect malicious Softwares. (by islem-esi)
#Deep Learning #malware-detection #neural-networks #Cnn #Rnn #feature-extraction #Python3 #fnn #convolutional-neural-networks #recurrent-neural-networks #feedforward-neural-network #Machine Learning #Lstm #sae #Yara
Source Code
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deepNOID DeepMalwareDetector
1 1
4 45
- -
0.0 5.2
about 2 years ago 3 months ago
Python Python
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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deepNOID

Posts with mentions or reviews of deepNOID. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning deepNOID yet.
Tracking mentions began in Dec 2020.

DeepMalwareDetector

Posts with mentions or reviews of DeepMalwareDetector. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-26.
  • Looking for insight on labelling portable executable (PE) malware files using a VirusTotal API response report.
    3 projects | reddit.com/r/Malware | 26 Aug 2022
    What brought me to this research was these studies [1] [2], which demonstrates how image-based malware classification can be done using a CNN (convolutional neural network). Since I had a bit of a background with malware, and I recently completed a CNN model, I figured I would try to do something similar. It was only after investigating different materials I hit a bit of a roadblock. I found this one dataset, malimg [3], which is made up of PE files that have been converted into images already. I didn't want to just use the images, I wanted to demonstrate how to get them, only the method used to classify them turned out to be a bit out of my depth, kind of like this whole project, it's discussed in Section 4.2 of this paper [4] . There's also this set [5], which contains the pixel content for each file record. And as for the static disassembly you mention, I think you are right, the training data might not exist. During my investigation the best I could find was this study [6].

What are some alternatives?

When comparing deepNOID and DeepMalwareDetector you can also consider the following projects:

muzic - Muzic: Music Understanding and Generation with Artificial Intelligence

deepNOID vs muzic