Towards an Extensible IoT Security Taxonomy
TUM published a new article about IoT threat classification at the 25th IEEE Symposium on Computers and Communications (ISCC)!
Security is essential in the Internet of Things (IoT). IoT threat classifications are often non-intuitive to use. Identifying relevant properties of an attack is difficult and requires reading details of the attack. We therefore propose a simple-to-use naming scheme for IoT threat classification. It is based on the affected layers and the affected security goals. We evaluate the usefulness of the chosen approach by applying it to common IoT threats.
You can find the article here:
Christian Luebben
Christian Lübben is a research associate and PhD student at the chair of Network Architectures and Services at Technical University of Munich. Within the Internet of Things (IoT) Smart Space team (S2O) his research focus lies on optimizing IoT smart spaces using AI based advanced data analytics. The S2O team works on new ways of taming the complexity of the IoT. The goal is making a joint orchestration as simple as writing a smartphone App. Challenges include security, usability, resilience, scalability, and performance.