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A Lexical Approach For Classifying Malicious Urls, Michael Darling
A Lexical Approach For Classifying Malicious Urls, Michael Darling
Electrical and Computer Engineering ETDs
Given the continuous growth of illicit activities on the Internet, there is a need for intelligent systems to identify malicious web pages. It has been shown that URL anal- ysis is an e\u21b5ective tool for detecting phishing, malware, and other attacks. Previous studies have performed URL classification using a combination of lexical features, network tra c, hosting information, and other strategies. These approaches require time-intensive lookups which introduce significant delay in real-time systems. This paper describes a lightweight approach for classifying malicious web pages using URL lexical analysis alone. The goal is to explore the upper-bound of the classification accuracy …
Design And Implementation Of A Pivot Shift Prototype For Quantitative Analysis, Marco Antonio Espinoza Sanchez
Design And Implementation Of A Pivot Shift Prototype For Quantitative Analysis, Marco Antonio Espinoza Sanchez
Electrical and Computer Engineering ETDs
This thesis presents the utilization of a portable medical device intended to help in the diagnosis of the Anterior Cruciate Ligament(ACL) knee injury. The prototype consists of an embedded system integrated with various sensors including accelerometers and gyroscopes to provide force, orientation, and acceleration measurement. The prototype has been used to quantify the results of a medical test called pivot shift which tests the dynamic stability of the patients knee. With the initial prototype built, limited clinical trials were conducted. Two schemes (metric based classification and k nearest neighbors) have been applied to the data set to empirically learn and …
New Approaches For Data-Mining And Classification Of Mental Disorder In Brain Imaging Data, Mustafa Sinan Cetin
New Approaches For Data-Mining And Classification Of Mental Disorder In Brain Imaging Data, Mustafa Sinan Cetin
Computer Science ETDs
Brain imaging data are incredibly complex and new information is being learned as approaches to mine these data are developed. In addition to studying the healthy brain, new approaches for using this information to provide information about complex mental illness such as schizophrenia are needed. Functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) are two well-known neuroimaging approaches that provide complementary information, both of which provide a huge amount of data that are not easily modelled. Currently, diagnosis of mental disorders is based on a patients self-reported experiences and observed behavior over the longitudinal course of the illness. There is …