RCAND: Network Traffic Analysis of Redundant Transmissions for Anomaly Detection
Key: ABZS26-1
Author: Konrad Altenhofen, Leonhard Balduf, Julian Zobel, Björn Scheuermann
Date: October 2026
Kind: In proceedings
Publisher: IEEE
Book title: Proceedings of the 51st IEEE 2026 Conference on Local Computer Networks (LCN)
Abstract: The use of redundant data transmission for critical applications is gaining increasing traction because it increases reliability and timing stability. However, it also allows novel methods to detect anomalies specific to such redundant transmissions, but these concepts have not been explored so far. Therefore, we present and implement RCAND (Redundant Channel ANomaly Detection), the first approach to detect anomalies in redundant transmissions on multiple channels. We evaluate RCAND in a series of lab experiments, in which we first quantify measurement precision and component delays, and subsequently demonstrate the anomaly detection capabilities of RCAND, including the detection of a machine-in-the-middle (MITM) attack.
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