White paper of model building process

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Reference no: EM133635649

Project

With your group, you will prepare and present a (roughly) 30-minute power point presentation on the problem background; model building process and your recommendations. Provide a short white paper of your model building process, the selected model, and the model's properties. Include annotated code that replicates your analysis. Only discuss your work on this project with your group, the instructors or GTA's of the course.

The Problem
We are interested in incorporating typing dynamics into our password based security system. See the included paper for additional background on this type of biometric research. In prior work (namely last semester) it was noted that a user's typing dynamics change over time when they type a given passcode. We need to incorporate this information into the biometric system by finding a lower threshold (in terms of the number of times a person has typed a passcode in the past) with which we can start training the system.

For this project you are given access to a group of 51 individuals who have typed a passcode for a specific system.

The passcode used by this code is : \(.tie5Roanl\)

Dr. Roy Maxian and colleagues recruited 51 subjects at CMU. Subjects completed 8 data collection sessions, with each session composed of 50 times of typing the above passcode. Each session was one day apart. There is additional details concerning the data collection in the included paper.

FOR EACH SUBJECT, YOUR TASK IS TO FIND A SUBSET OF THEIR TYPING DATA THAT IS REPRESENTIVIE OF THE LEARNED TYPING BEHAVIOR.

This problem is going to be broken into the 4 following data analysis components or tasks.

[Sub-Task 1:] Develop a covariate that tells you the number of times a subject has typed the passcode in the past.

[Sub-Task 2:] For each subject, build three appropriate regression models for the total UD, total DD, and total H times in terms of the number of times the passcode has been typed.

[Sub-Task 3:] Use FDR's to assess reasonableness of the normality assumptions of the residuals after fitting model for all subjects.

[Sub-Task 4:] Draw conclusions and make recommendations based on your analysis.

The results of your analysis should be presented in a short white paper and 15 to 30 minute powerpoint slide deck and presentation scheduled during the first week of February.

Variables Recorded by the Keypad
The keypad on which the code is entered records the following times:

[H.period:] The amount of time that the "." is held down.

[DD.period.t:] The time between pressing down the "." key to the time to press down the "t" key.

[UD.period.t:] The time between the "." key coming up to the time to press down the "t" key.

[H.t:] The amount of time that the "t" is held down.

[DD.t.i:] The time between pressing down the "t" key to the time to press down the "i" key.

[UD.t.i:] The time between the "t" key coming up to the time to press down the "i" key.

[H.i:] The amount of time that the "i" is held down.

[DD.i.e:] The time between pressing down the "i" key to the time to press down the "e" key.

[UD.i.e:] The time between the "i" key coming up to the time to press down the "e" key.

[H.e:] The amount of time that the "e" is held down.

[DD.e.five:] The time between pressing down the "e" key to the time to press down the "5" key.

[UD.e.five:]The time between the "e" key coming up to the time to press down the "5" key.

[H.five:]The amount of time that the "5" is held down.

[DD.five.Shift.r:] The time between pressing down the "5" key to the time to press down the "shift+r" key combination.

[UD.five.Shift.r:] The time between the "5" key coming up to the time to press down the "shift+r" key combination.

[H.Shift.r:] The amount of time that the "shift+r" key combination is held down.

[DD.Shift.r.o:] The time between pressing down the "shift+r" key combination to the time to press down the "o" key.

[UD.Shift.r.o:]The time between the "shift+r" key combination coming up to the time to press down the "o" key.

[H.o:] The amount of time that the "o" is held down.

[DD.o.a:] The time between pressing down the "o" key to the time to press down the "a" key.

[UD.o.a:] The time between the "o" key coming up to the time to press down the "a" key.

[H.a:] The amount of time that the "a" is held down.

[DD.a.n:] The time between pressing down the "a" key to the time to press down the "n" key.

[UD.a.n:] The time between the "a" key coming up to the time to press down the "n" key.

[H.n:] The amount of time that the "n" is held down.

[DD.n.l:] The time between pressing down the "n" key to the time to press down the "l" key.

[UD.n.l:] The time between the "n" key coming up to the time to press down the "l" key.

[H.l:] The amount of time that the "l" is held down.

[DD.l.Return:] The time between pressing down the "l" key to the time to press down the "return" key.

[UD.l.Return:] The time between the "l" key coming up to the time to press down the "return" key.

[H.Return:] The amount of time that the "return" is held down.

Grading
Your grade will be assessed by the zoom presentation and by my reviewing of the following three components:

1. The write-up of the methods you have used.

2. The presentation of the results of your data analysis.

3. The annotated R code used to perform the analysis.

We will first focus on the Powerpoint slides and if something is unclear we will move to the write up and finally the rmd file to figure out what you have done. Ideally we will only need to look at the Powerpoint slides to understand what you have done.

You will need to turn in the following three components before the group presentation:

1. An annotated R-script that replicates your data analysis. (This should take the form of an .rmd file.)

2. A write-up your data analysis that includes your interpretation and description of the methods used. This should include appropriate graphical methods. (Submitted as a .pdf file.)

3. A powerpoint presentation discussing and presenting the results of your analysis. (Submitted as a .pdf file.)

Do ask me (or any of the other course instructors) for help if you are having trouble. Beware this is a rather open ended exam.

Reference no: EM133635649

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