Computer Networks
Paper accepted at NOMS 2026 !
9 March 2026, by Mathias Fischer
Photo: https://noms2026.ieee-noms.org
Our paper entitled "Towards Flexible and Resilient Next Generation Time Sensitive Networks" for IEEE/IFIP Network Operations and Management Symposium 2026 - Call for Dissertation Digest Papers (NOMS2026-DissertationDigest 2026) has been accepted.
In this paper, we address the problem of configuring Time-Sensitive Networks (TSNs) to simultaneously ensure stringent Quality of Service (QoS) requirements and resilience against potential security threats such as Denial-of-Service (DoS) attacks. We propose self-adaptive and efficient configuration strategies that unify diverse network environments and enhance the robustness of next-generation mission-critical communications.
Paper Abstract:
Mission-critical communication requires the delivery of data in real time, with a focus on reliability and security. With recent developments and the convergence of the Internet, it has become necessary to meet various Quality of Service (QoS) requirements and accommodate a more diverse and dynamic range of traffic. For this, there are different protocols designed to ensure QoS within a specific environment or use case. Each vendor or industry optimized its protocol for its own constraints, traffic patterns, and timing requirements. Time-Sensitive Networks (TSNs) have been introduced to unify diverse networking equipment and protocols. This facilitates the transmission of converged data flows using cost-effective, easily deployable standard Ethernet technologies. However, configuring these networks and ensuring resilience against potential attacks while maintaining the desired QoS remains a significant challenge that needs further exploration.
This paper presents our contributions to the self-adaptive and efficient configuration of TSN, as well as methods to enhance its resilience against Denial-of-Service (DoS) attacks. By integrating flexible configuration strategies with resilience considerations, we aim to advance the development of next-generation time sensitive networks.
