Passwords

The Mobile Security Group was es­ta­blis­hed in 2014 at the Fa­cul­ty of Elec­tri­cal En­gi­nee­ring and In­for­ma­ti­on Tech­no­lo­gy and is part of the Horst-Görtz-In­sti­tu­te for IT-Se­cu­ri­ty (HGI). The group is headed by Prof. Dr. Markus Dürmuth.

News

Teaching in winter term

21.09.2018 - Maximilian Golla

This winter term we contribute to the new lecture In­tro­duc­tion to Usa­ble Se­cu­ri­ty and Pri­va­cy for Bachelor students. Furthermore, we offer the lecture Me­thods of User Au­then­ti­ca­ti­on, as well as, the new Prac­tical Cour­se on Usa­ble Se­cu­ri­ty and Pri­va­cy for Master students.

Teaching in summer term

21.03.2018 - Theodor Schnitzler

This summer term we offer the lecture Usa­ble Se­cu­ri­ty and Pri­va­cy. Note that this course will start in the third week, the first lecture is scheduled for Tuesday, 24 April 2018.

Furthermore, we offer the Mas­ter-Se­mi­nar Human Centered Security and Privacy, and we contribute to the lecture IT-Si­cher­heit für Geis­tes- und Ge­sell­schafts­wis­sen­schaf­ten.

Usability of Risk-based Implicit Authentication

07.06.2017 - Markus Duermuth

Our project Usability of Risk-based Implicit Authentication will receive funding through the North Rhine-Westphalian Graduate School “Human Centered Systems Security” (NERD NRW). The project studies the security and usability of so-called risk-based authentication, an additional layer that improves the security and usability of “traditional” password-based authentication. Also involved in the project is the Data & Application Security Group at TH Cologne.

We are looking for a highly qualified and motivated PhD student to work on the project. If you are interested please contact Prof. Dr. Dürmuth.

Teaching in sum­mer term

13.04.2017 - Markus Duermuth

This summer term we offer the lecture Usa­ble Se­cu­ri­ty and Pri­va­cy and the Mas­ter-Se­mi­nar Se­cu­ri­ty and Pri­va­cy of Wire­less Net­works and Mo­bi­le De­vices.

Furthermore, we contribute to the lecture IT-Si­cher­heit für Geis­tes- und Ge­sell­schafts­wis­sen­schaf­ten.

Release of OMEN - A Markov Model-Based Password Guesser

15.03.2017 - Maximilian Golla

OMEN is a Markov model-based password guesser written in C. It generates password candidates according to their occurrence probabilities, i.e., it outputs most likely passwords first. If you are interested in the details on how OMEN improves on existing Markov model-based password guessing approaches, please refer to OMEN: Faster Password Guessing Using an Ordered Markov Enumerator.

You can download OMEN from GitHub.

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