Mobile Security and Privacy
Current Projects
Ransomware Detection with Machine Learning
Data has become more critical than ever in today's digital transformation era. The amount of data we produce daily is astonishing — every day, hundreds of millions of people are taking photos, making videos, and exchanging messages. Given such trends, the importance of database security is hard to overestimate: The rapid growth of the data volume stored in the databases in cloud environments and enterprise data centers makes them attractive attack targets. ❯ More
Past Projects
Privacy – Mobile Contact Discovery
Contact discovery allows users of mobile messengers to conveniently connect with people in their address book. In this work, we demonstrate that severe privacy issues exist in currently deployed contact discovery methods. ❯ More
TraceCORONA - Anonymous contact tracing for pandemic response
TraceCORONA is designed to be not only a tracing app, but a system concept that allows the TraceCORONA tracing component as well as other possible tracing apps to integrate into a secure health platform for private healthcare-related services over a well-defined secure interface. ❯ More
(Federated) Machine Learning for Risk Detection on Mobile Platforms
The importance of security and protection of private information on mobile devices has increased in recent years due to the widespread use of these devices. This lead to the intensive use of mobile platforms for security-critical tasks, such as online banking, mobile payments, healthcare applications or business-related activities. On another hand, mobile platforms became attractive attack targets, since they store and process a significant amount of security-critical information, such as authentication credentials, payment information, and access tokens. ❯ More
