392283 ISY Project: Machine Learning for user identification on websites based on their mouse and keyboard usage (Pj) (SoSe 2018)

Contents, comment

The goal of the project is to investigate in how far it is possible to identify the user
of a website based on tracked signals from keyboard and mouse only. If so, such technologies
could be used to increase the safety of web usage (e.g. match user login to signal profile, identify
possible hazardeous anonymous users in terms of their signal fingerprint). The problem itself
is a classical problem within machine learning, where the task is to design a test environment, gather
test data, design a suitable feature representation, identify suitable ML pipelines for a valid classification,and evaluate the results in realistic scenarios.

In case this would not find enough interest for a team project, this project proposal would be also offered (in reduced/modified form)

The project team for this project has already been selected, no additional applications are considered.

Requirements for participation, required level

Advanced Machine Learning skills are required.

Teaching staff

Subject assignments

Module Course Requirements  
39-M-Inf-GP Grundlagenprojekt Intelligente Systeme Gruppenprojekt Ungraded examination
Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.


No more requirements
No eLearning offering available
Registered number: 3
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
Address:
SS2018_392283@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_124013269@ekvv.uni-bielefeld.de
Coverage:
2 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Monday, February 12, 2018 
Last update times:
?
Last update rooms:
?
Type(s) / SWS (hours per week per semester)
project (Pj) / 4
Department
Faculty of Technology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=124013269
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
124013269