Behavioral Authentication with Machine Learning (Sommersemester 2018)

Lecturer: Prof. Dr. Christoph Meinel (Internet-Technologien und -Systeme)
Tutors: M.Sc. Christian Tietz M.Sc. Eric Klieme

General Information

Weekly Hours: 4
Credits: 6
Graded: yes
Enrolment Deadline: 18.04.2018
Teaching Form: Seminar
Enrolment Type: Compulsory Elective Module

Programs, Module Groups & Modules

IT-Systems Engineering MA

IT-Systems Engineering
- HPI-ITSE-A Analyse
IT-Systems Engineering
- HPI-ITSE-E Entwurf
IT-Systems Engineering
- HPI-ITSE-K Konstruktion
IT-Systems Engineering
- HPI-ITSE-M Maintenance
ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-S Spezialisierung
ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-T Techniken und Werkzeuge
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-S Spezialisierung
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge

Description

Background

Passwords are used for securing computer systems for a long time. Nevertheless, people use short and weak passwords for their own accounts. One of the reasons is that humans are not good in memorizing long random strings. To solve this problem, the Secure Identity Lab of HPI is developing a system that does not rely on password but on human behavior, such as gait recognition. Our system in its current version can detect the gait of the user and determine the trust level, a probability that the user is also the owner.

This trust level is later sent to an identity provider (IDP) and forwarded to services for authentication.

Problem

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.

Goal

In this seminar we want to look at several topics in terms of these requirements:

Behavioral authentication based on typing
Behavioral authentication in special situations like with injuries or for very old persons
Architectures for Trust Level Exchange
Benchmarking of behavioral authentication approaches

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.

Topic Presentation

Examination

The grade of this course will be based on: two presentations, implementation and a paper.

Dates

Topic Presentation: 09.04. 2018 , 11:00 a.m., room H-E.51
Topic choice until 15.04.
Weekly meetings starting on 16.04. , every monday

Extended abstract: TBA
Intermediate presentation: TBA
Final presentation: TBA

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