Prof. Dr. rer. nat. Daniel Spiekermann

Künstliche Intelligenz in der Netzwerkforensik

An Indirect RTT-Based Covert Channel in OpenFlow-Enabled SDN Networks

Protocol Design Rules from Hiding Patterns to Avoid Steganographic Channels in Wireless Communication

Manipulating the Swap Memory for Forensic Investigation

Netzwerkforensik in EVPN-Umgebungen

Challenges of Digital Investigations in Nowadays Communication Networks

E. Köhler and D. Spiekermann, “Geschwindigkeitsanalyse bei der Sicherung von verschiedenen Speichermedien,” in INFORMATIK 2023, 2023, pp. 607–610.

M. Schneider, D. Spiekermann, and J. Keller, “Network Covert Channels in Routing Protocols,” in ARES ’23: Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023, pp. 1–8.

A Study of Network Forensic Investigation in Docker Environments

Positional Packet Capture for Anomaly Detection in Multitenant Virtual Networks

Towards the Generation of Virtualized Network Traffic According to Modern Data Centers

D. Spiekermann, T. Eggendorfer, and J. Keller, “Deep Learning for Network Intrusion Detection in Virtual Networks,” Electronics, vol. 13, no. 18, p. 3617, 2024.

D. Spiekermann and J. Keller, “Challenges of Network Forensic Investigation in Fog and Edge Computing,” Future Internet, vol. Edge and Fog Computing for the Internet of Things, no. 15, pp. 342–342, 2023.

From Full Capture to Criminal Evidence: A Real-World Case of Lawful Interception

Covert Channels