Exploiting autobiographical memory for fallback authentication on smartphones

Smartphones have advanced from simple communication devices to multipurpose devices that capture almost every single moment in our daily lives and thus contain sensitive data like photos or contact information. In order to protect this data, users can choose from a variety of authentication schemes. However, what happens if one of these schemes fails, for example, when users are not able to provide the correct password within a limited number of attempts? So far, situations like this have been neglected by the usable security and privacy community that mainly focuses on primary authentication schemes. But fallback authentication is comparably important to enable users to regain access to their devices (and data) in case of lockouts. In theory, any scheme for primary authentication on smartphones could also be used as fallback solution. In practice, fallback authentication happens less frequently and imposes different requirements and challenges on its design. The aim of this work is to understand and address these challenges. We investigate the oc- currences of fallback authentication on smartphones in real life in order to grasp the charac- teristics that fallback authentication conveys. We also get deeper insights into the difficulties that users have to cope with during lockout situations. In combination with the knowledge from previous research, these insights are valuable to provide a detailed definition of fall- back authentication that has been missing so far. The definition covers usability and security characteristics and depicts the differences to primary authentication. Furthermore, we explore the potential of autobiographical memory, a part of the human memory that relates to personal experiences of the past, for the design of alternative fall- back schemes to overcome the well-known memorability issues of current solutions. We present the design and evaluation of two static approaches that are based on the memory of locations and special drawings. We also cover three dynamic approaches that relate to re- cent smartphone activities, icon arrangements and installed apps. This series of work allows us to analyze the suitability of different types of memories for fallback authentication. It also helps us to extend the definition of fallback authentication by identifying factors that influence the quality of fallback schemes. The main contributions of this thesis can be summarized as follows: First, it gives essen- tial insights into the relevance, frequency and problems of fallback authentication on smart- phones in real life. Second, it provides a clear definition of fallback authentication to classify authentication schemes based on usability and security properties. Third, it shows example implementations and evaluations of static and dynamic fallback schemes that are based on different autobiographical memories. Finally, it discusses the advantages and disadvantages of these memories and gives recommendations for their design, evaluation and analysis in the context of fallback authentication.

You can listen to Exploiting autobiographical memory for fallback authentication on smartphones online on Radio and Podcast. Open the player on this page to stream the available audio.

Exploiting autobiographical memory for fallback authentication on smartphones is an episode from Fakultät für Mathematik, Informatik und Statistik - Digitale Hochschulschriften der LMU - Teil 02/02 by Ludwig-Maximilians-Universität München.

This episode is 0 long.

This episode was published on Mar 3, 2016.

Yes. Use the heart button on the episode page to add it to your favorite episodes list.

Yes. This page shows related episodes from Fakultät für Mathematik, Informatik und Statistik - Digitale Hochschulschriften der LMU - Teil 02/02 when more episodes are available from the podcast feed.