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Full-Text Articles in Physical Sciences and Mathematics
Image-Based Malware Classification With Convolutional Neural Networks And Extreme Learning Machines, Mugdha Jain
Image-Based Malware Classification With Convolutional Neural Networks And Extreme Learning Machines, Mugdha Jain
Master's Projects
Research in the field of malware classification often relies on machine learning models that are trained on high level features, such as opcodes, function calls, and control flow graphs. Extracting such features is costly, since disassembly or code execution is generally required. In this research, we conduct experiments to train and evaluate machine learning models for malware classification, based on features that can be obtained without disassembly or execution of code. Specifically, we visualize malware samples as images and employ image analysis techniques. In this context, we focus on two machine learning models, namely, Convolutional Neural Networks (CNN) and Extreme …
Smartphone Gesture-Based Authentication, Preethi Sundaravaradhan
Smartphone Gesture-Based Authentication, Preethi Sundaravaradhan
Master's Projects
In this research, we consider the problem of authentication on a smartphone based on gestures, that is, movements of the phone. Accelerometer data from a number of subjects was collected and we analyze this data using a variety of machine learning techniques, including support vector machines (SVM) and convolutional neural networks (CNN). We analyze both the fraud rate (or false accept rate) and insult rate (or false reject rate) in each case.