Malware-Analysis-with-Machine-Learning

Project aims to predict if a software is malware or not by using system call sequences in different window sizes.

Basic Usage

• .m files should be opened with MATLAB.
• Datasets are seperated by window sizes, data_5 has window size as 5 etc.
• Last columns in datasets are 1 for the malicious software, 0 for not.
• Datasets should be in the same path with the code, if not path of the datasets must be set manually or fixed in the code.

data = readtable('PATH OF THE DATASET');

• For plotting the result in bar plot, algorithm names must be uniqe for each row.

Results

Accuracy results of different algorithms and customizations are stored in Results folder in results.csv.

Authors

• Özlem Körpe - Initial work - ozlemkorpe