About

I created the project for test K-Neighbors, SVM, Navie-Bayes, Random forest Classifier. About it: - DATA SET = CSDMC_API_Train.csv append with CSDMC_API_TestData.csv. Files download http://csmining.org/index.php/malicious-software-datasets-.html - Test data = 1/4 Training data - in csv file. 1 and 0 is label Malware or Not Malware

• Model created by Random Forest (RF) Algorithms. A web base on Flask allow client upload file .csv for scan fast virus with model base RF Algorithm.

Deploy

• Run train:

python detector.py

• Create model:

python predict.py

• Run web api

python webapi.py

User access to http://ip_webapi/ upload file .csv example 1.csv with content contain 2 API/System call windows: SetThreadPriority LocalAlloc LocalFree ...

Notes: You can use IDA Pro export API/System call of on programe save to .csv file.