@inproceedings{5c916c0b60604987accbea92dc2526f8,
title = "Shells Bells: Cyber-Physical Anomaly Detection in Data Centers",
abstract = "Monitoring the side-channel sound can improve anomaly detection (AD) in data centers (DCs). However, a DC's dense setup results in a composite soundscape which makes it difficult to attribute sounds to individual devices.We propose a novel cyber-physical AD approach that validates device activity in realistic composite audio signals. By leveraging information from management network traffic, we predict changes in the DC soundscape. We use a convolutional neural network to compare our predictions with real observations to validate correct device activity and identify anomalies. Our evaluation using data from a real DC environment identifies spoofed and masqueraded activity with an accuracy of 98.62 %.",
author = "Lars Wustrich and Sebastian Gallenmuller and Stephan Gunther and Georg Carle and Pahl, {Marc Oliver}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE/IFIP Network Operations and Management Symposium, NOMS 2024 ; Conference date: 06-05-2024 Through 10-05-2024",
year = "2024",
doi = "10.1109/NOMS59830.2024.10575124",
language = "English",
series = "Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Hong, {James Won-Ki} and Seung-Joon Seok and Yuji Nomura and You-Chiun Wang and Baek-Young Choi and Myung-Sup Kim and Roberto Riggio and Meng-Hsun Tsai and {dos Santos}, {Carlos Raniery Paula}",
booktitle = "Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024",
}