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Classifying System Call Traces Using Anomalous Detection, William Doyle
Classifying System Call Traces Using Anomalous Detection, William Doyle
Honors Theses
We used data mining techniques to detect intrusions among system call traces and have outlined our results. Recent work at the intersection of security and machine learning has lead to better understanding of anomalous intrusion detection. There is a need to more thoroughly understand how anomaly detection can be used because of its potential applications and advantages over current standard methods. In this thesis, we report on a new approach of anomalous detection using system call traces. Our goal is to be able to create a system that can accurately detect hacking attacks by analyzing the sequences of system calls …
Pedagogical Tool For Usability Science Final Project Report, Daniel D. Mendelsohn
Pedagogical Tool For Usability Science Final Project Report, Daniel D. Mendelsohn
Honors Theses
A Sophomore Research Seminar (SRS) at Union College teaches about usability science, the study of designing interfaces that allow the user to accomplish a given task with less time and frustration. In this context, an interface can be anything that allows interaction with a physical or virtual device such as a web browser or the knobs on a stove. In this SRS, students design interface mockups, called prototypes, out of inexpensive material such as cardboard. Students use these prototypes to test their interfaces on real people, who are asked to perform a task that would be performed on a real …