afagarap / malware-classification Goto Github PK

How can i download the MALLImage dataset

An error occurs, after

python3 classifier.py --model 1 --model_path ./trained-cnn-svm/ --dataset ./dataset/malimg.npz

this command

Error

KeyError: "The name 'metrics\\predicted_class:0' refers to a Tensor which does not exist. The operation, 'metrics\\predicted_class', does not exist in the graph."

how to resolve this
need help
thankyou in advance

This implementation doesnt have any GPU implementation?

I wonder how can we use this work to get the classification of a single instance which is a list of dimension 1x1024. Please suggest some idea.

Hello, I am student which is still new to github environment for research purpose. Suddenly, I am having problem with accessing malware-classification directory after cloning the project on Google Colab. As a result, I unable to run both setup.sh and main.py which is previously done without any problems. Is it because the access has been restricted?

Hello author, I would like to ask how maling.npz is constructed, I would like to change the dataset for binary classification

The link you paste for the dataset is not working. please can you share the dataset?

Hi @AFAgarap, I am completely new to python and cnn. When I run the main file I am getting an error "Traceback (most recent call last):
File "main.py", line 25, in
from models.cnn_svm import CNN
ImportError: No module named models.cnn_svm"
Kindly help me to solve this issue. I have cloned your project in home directory.

Hi,
Basically I am trying to run your code. I have successfully executed your code using malmig.npz dataset. cnn_svm is givinbg me accuracy 80% but when I try to run code on dataset on gru_svm and mlp_svm its giving me follwoing error

File "E:\malware-classification\env\lib\site-packages\tensorflow_core\python\framework\ops.py", line 3649, in _as_graph_element_locked
"graph." % (repr(name), repr(op_name)))
KeyError: "The name 'accuracy:0' refers to a Tensor which does not exist. The operation, 'accuracy', does not exist in the graph."

Could you please tell me whats the issue ? Is it something wrong with dataset,

Kindly reply as fast
Thanks

• Add Flask app that uses the trained models for demonstration, and a portion that uses the stand-alone classifier for classification of a single example.

The dropout rate used in the work seems way too high (0.85). Is there some specific reason for using this high value? Wouldn't 0.5 do just fine? Thank you in advance.