San Jose State University SJSU ScholarWorks Master's Projects Master's Theses and Graduate Research Fall 2017 Measuring the Effectiveness of Generic Malware Models Naman Bagga San Jose State University Follow this and additional works at: https://scholarworks.sjsu.edu/etd_projects Part of the Computer Sciences Commons Recommended Citation Bagga, Naman, "Measuring the Effectiveness of Generic Malware Models" (2017). Master's Projects. 566. DOI: https://doi.org/10.31979/etd.8486-cfhx https://scholarworks.sjsu.edu/etd_projects/566 This Master's Project is brought to you for free and open access by the Master's Theses and Graduate Research at SJSU ScholarWorks. It has been accepted for inclusion in Master's Projects by an authorized administrator of SJSU ScholarWorks. For more information, please contact
[email protected]. Measuring the Effectiveness of Generic Malware Models A Project Presented to The Faculty of the Department of Computer Science San Jose State University In Partial Fulfillment of the Requirements for the Degree Master of Science by Naman Bagga December 2017 ○c 2017 Naman Bagga ALL RIGHTS RESERVED The Designated Project Committee Approves the Project Titled Measuring the Effectiveness of Generic Malware Models by Naman Bagga APPROVED FOR THE DEPARTMENTS OF COMPUTER SCIENCE SAN JOSE STATE UNIVERSITY December 2017 Dr. Mark Stamp Department of Computer Science Dr. Jon Pearce Department of Computer Science Dr. Thomas Austin Department of Computer Science ABSTRACT Measuring the Effectiveness of Generic Malware Models by Naman Bagga Malware detection based on machine learning techniques is often treated as a problem specific to a particular malware family. In such cases, detection involves training and testing models for each malware family.