Static-Malware-Detection

Overview-

• This project is a Automated model for static Malware detection.
• In the battle between speed & efficiency, it gives importance to speed with good effeciency.
• It works as a precaution which can be used by user for security against malware infested executable files.

Demonstration-

Testing on .exe files

Testing on datasets: test1 (All Goodwares) & test2 (All Malwares)

NOTE: Here probability represents the chance of Goodware(~0) or Malware(~1).

References-

• Brazilian Malware Dataset
• EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
• PE Format
• Machine Learning Approach for Malware Detection
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