TUM Logo

Daniel Angermeier

Daniel Angermeier

ExtDoktorand

E-Mail:
Fraunhofer AISEC

 

Research Interests

In my research I am investigating malware threats. Currently I mainly focus on string classification using a metric. The goal of this classification process is later use in spam detection and network intrusion detection systems. Finding data structures that achieve good performance in terms of search times based on a given metric constitutes a very important aspect in this topic.

I am also investigating the security of SCADA networks. Supervisory Control and Data Acquisition (SCADA) systems are used in industrial process control and critical infrastructure alike. While proprietary "secret" protocols and no connectivity to other networks kept SCADA networks relatively secure in the past, the increased use of commercial of the shelf (COTS) products and the growing connectivity to corporate networks and the Internet expose SCADA networks to many threats. Therefore, securing SCADA networks is an important research topic which requires efficient algorithms to compensate for typically limited computing power and bandwith available in SCADA networks.
Teaching

Winter term 2009/2010:
Praktikum: Honeynets
Summer term 2010:
Praktikum: Honeynets
Winter term 2010/2011:
Seminar: Botnets
Teaching Assistant: Algorithmen und Datenstrukturen
Summer term 2011:
Seminar: Botnets
Praktikum: Honeynets
Praktikum: Grundlagen der Programmierung
Winter term 2011/2012:
Teaching Assistant: Algorithmen und Datenstrukturen

Publications

2022 Security Risk Assessments: Modeling and Risk Level Propagation
2016 Supporting Risk Assessment with the Systematic Identification, Merging, and Validation of Security Goals
2013 PAL - Privacy Augmented LTE: A Privacy-Preserving Scheme for Vehicular LTE Communication
2012 A Secure Architecture for Smart Meter Systems