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Project ID: 453
Author: Murali Jagdev Koney
Project Title: A Prototype System for Malware detection in JAR files and Online Applets using Bounded Feature Space Behavior Modeling
Semester: 2 2015
Committe Chair: Dr. Mario Garcia
Committee Member 1: Dr. David Thomas
Project Description: This project implements and evaluates a bounded feature space behavior modeling (BOFM) framework for scalable malware detection. BOFM models the interactions between software (which can be malware or benign) and security-critical OS resources in a scalable manner. A malware, performs various actions on one or more OS resource instances. In the proposed BOFM, for each OS resource type, the set of actions performed by malware on an individual OS critical resource instances are monitored, and based on these collected features, BOFM algorithm can decide whether it is a malware or a benign application. The approach which is proposed is scalable, which is achieved by placing an upper bound to the number of the feature extracted. The document mainly covers about the background, previous research, motivation from the previous research, architecture of the proposed solution, functionality of the application which is designed to detect the malwares in online applets and JAR files, different test cases of the project and finally conclusion and future work.
Project URL:   453.pdf