I am doing work on the feature extraction of malware.
Somewhere I found N-Grams techniques to extract features of malware but it's complicated to reach my goal.
find attachment for details:
Note: a just focus on Feature extraction of malware, not testing , training or classification.
Please download this paper to get info about this issue.
etd.fcla.edu/CF/CFE0002303/Siddiqui_Muazzam_A_200808_PhD.pdf
Dear Hemant
A lot of feature extraction techniques available on the literature ranges form Mel Frequency Cepstral Technique, PCA, MPCA, Neural Networks and some of them are used for speech and others for images. You can trace and down load a lot of papers from my researchgate site cover this topic and applied for several applications.
Good Luck
Prof. S. EL-Rabaie
There is no such best feature extraction technique(PCA, KPCA, Markov model) for malware detection....What type of features of malwares you want to detect or classify that need to be considered.....You may follow the follwing links.....
http://www.iis.sinica.edu.tw/page/jise/2015/201505_11.pdf
http://www.ijcaonline.org/archives/volume120/number5/21220-3960
https://brage.bibsys.no/xmlui/bitstream/id/402000/LSGrini_2015.pdf
file:///C:/Users/Sanjay/Downloads/ELK-1601-189_manuscript_1.pdf
Thank you sanjay sir !!!
but i want exact methods of feature extraction :::::::
this is proposed architecture.
can anyone explain to me what will be the input of training and testing set?
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