Behavioral Authentication with Machine Learning (Sommersemester 2019)
Lecturer: Prof. Dr. Christoph Meinel
(Internet-Technologien und -Systeme)
M.Sc. Christian Tietz
- Weekly Hours: 4
- Credits: 6
- Enrolment Deadline: 26.04.2019
- Teaching Form: Seminar
- Enrolment Type: Compulsory Elective Module
- Course Language: German
Programs & Modules
- APAD-Concepts and Methods
- APAD-Technologies and Tools
Passwords are used for securing computer systems for a long time. Nevertheless, people use short and weak passwords for their own accounts. The recent identity leaks (Collection#1 -#5) showed how easy these accounts may be compromised. To solve this problem, the Secure Identity Lab of HPI is researching approaches to let the devices (Computer, Smartphones, etc.) recognize their owners. This is done by detecting and evaluating different kind of behavior.
One approach we are following is using the gait of the user to determine a trust level, a probability that the user is also the owner. This trust level is later sent to service providers for authentication. Afterwards, entering a password may not be required anymore.
There exist several requirements for ‘good’ biometrics and for ‘good’ authentication systems. In the case of biometrics these are e.g. “availability” of the biometric data in many situations or “acceptance” of the user that the data is collected.
In terms of authentication systems there are requirements for low error rates or resistances against several attacks, for example. Referring to our approach described above and the current level of research, a lot of questions are not answered yet.
In this seminar we want to look at several topics:
- Evaluate typing on smartphones using sensors
- Explore behavioral authentication using the smarthone as mouse
- Apply deep learning to smartphone activity recognition
- Improve user authentication using typing sounds
Please note that all of our topics are basically general proposals. Please feel free to join our seminar and share your own very special ideas in this field of research.
The grade of this course will be based on: two presentations, implementation and a paper.
Topic Presentation: Monday 08.04. 2019 , 09:15 a.m., room H-E.51
Topic choice until 14.04.2019
Topic assignment: 15.04.2019
Weekly meetings starting on 22.04. , every monday
Extended abstract: TBA
Intermediate presentation: TBA
Final presentation: TBA