Smart Protection in Infrastructures and Networks (SPIN)
Our mission at SPIN is to enable secure, trustworthy and privacy aware interactions among connected actors and services. SPIN researchers are working on self-organised collaborative detection and response mechanisms that are trust and privacy aware as well as resilient to attacks and faults. Our smart solutions range from sophisticated and user-friendly trust management solutions to collaborative network intrusion detection systems, privacy-preserving IoT middleware, and resilient cyber physical systems.
Collaborative Network Defence
Resilience for Cyber-physical Systems
Botnet and Threat Analysis
HosTaGe is a lightweight, low-interaction honeypot for Android operating system devices that aim on the detection of malicious, wireless network environments.
BSF (Botnet Simulation Framework)
Our BSF models P2P botnets, including several wide-spread Botnets in greatdetail, in the popular OMNeT++ framework.
The ID2T (Intrusion Detection Dataset Toolkit) aims on the creation of labeled datasets that contain user defined synthetic attacks.
Our CertainTrust SDK allows computing the expectation or probability on the foundation of Bayesian logic. The SDK is available on our website for everyone to use.
Creating resilience is challenging in distributed systems such as the energy network. The HOLEG Simulator is a solution for modelling energy networks and identifying and evaluating resilient configurations based on the Holon analogy.
Do not forget to have a look at our list of past showcases.
The project follows the goal of empowering users, protecting privacy, and improving trust among the stakeholders in our connected society.
The goal of this center is to provide cryptography-based security solutions enabling trust in new and next generation computing environments.
Around 450 researchers are working in this center on burning cybersecurity issues that affect our society, economy and administration.
PROTECTIVE is an EU H2020 project, which aims to provide security teams, with a greater cyber capability through improved cyber situational awareness (CSA).
TAKEDOWN is an EU H2020 project for developing effective and efficient security solutions against organised crime and terrorist networks.
Anonyme Gruppenkommunikation (AnonPubSub)
AnonPubSub is a DFG project for developing novel and formally-sound techniques to provide anonymous group communication in decentralized environments.
Anomaly Detectoin for IoT-Networks
Many IoT-devices have only limited computational ressources and therefore cannot run traditional security mechanisms such as anti-virus software. Network-based Intrusion Detection Systems (IDS) can mitigate this drawback. They offer the possiblity to monitor and protect multiple devices within the same network. Sepcifically, in the context of IoT-devices, this is a promising aid in securing the factories of the future. The goal of this project is to develop an anomaly-based IDS for deployment in and protection of IoT-networks.
Software Campus (Project ADRAS)
Automated Detection and Reaction to Anomalies in Smart Home Environments
The internet of things is growing rapidly and its devices are an integral part of nowadays smart home environments. However, this rising number of interconnected devices introduces novel attack vectors that cannot solely be addressed by proactive security mechanisms, like firewalls and anti-virus software. The ADRAS project aims to approach these problems through novel detection and reaction mechanisms, specifically tailored to the smart home environment. The software campus project is initiated by the Federal Ministry of Education and Research (BMBF).
Do not forget to take a look at our list of past projects.
Former group members
- Dr. Sheikh M. Habib
- Dr.-Ing. Florian Volk
- Dr. Shankar Karuppayah
- Prof. Dr. Sascha Hauke
- Dr. Matthias Beckerle
- Dr. Fábio Borges
- Prof. Dr.-Ing. Mathias Fischer
- Dr. ir. Stefan Schiffner
- Dr. Leonardo A. Martucci
- Dr. Stefan G. Weber
- Dr. Sebastian Ries