@inproceedings{05867da72c394abf8ff217364c751ae5,
title = "Interpretable unsupervised anomaly detection for RAN cell trace analysis",
abstract = "The high complexity of modern communication networks requires an increasing degree of automation for performance and fault management tasks. A key task is the classification and identification of anomalous operation modes (and faults). This is important to separate them from normal operation conditions. In addition, these diagnoses should be interpretable by domain experts to (a) gain acceptance by these experts and (b) support effective root cause analysis and localisation. In this paper, we investigate the analysis of multivariant network data in order to identify anomalous data instances. Root cause analysis benefits from this by filtering features whose values lead (to some extent) to such anomalies. We are using Deep Neural Networks (DNNs), a powerful tool for anomaly detection in the telecommunication domain. We demonstrate the effectiveness of autoencoders (an unsupervised technique) to detect multivariant anomalies and anomalous features. To overcome the black box nature of neural networks (and thus increase their acceptance by domain experts), we apply SHapley Additive exPlanations (SHAP), which are used to explain the output model of a neural network.",
keywords = "Autoencoders, Correlation, DNNs, SHAP",
author = "Ashima Chawla and Paul Jacob and Saman Feghhi and Devashish Rughwani and {Van Der Meer}, Sven and Sheila Fallon",
note = "Publisher Copyright: {\textcopyright} 2020 IFIP.; 16th International Conference on Network and Service Management, CNSM 2020, 2nd International Workshop on Analytics for Service and Application Management, AnServApp 2020 and 1st International Workshop on the Future Evolution of Internet Protocols, IPFuture 2020 ; Conference date: 02-11-2020 Through 06-11-2020",
year = "2020",
month = nov,
day = "2",
doi = "10.23919/CNSM50824.2020.9269108",
language = "English",
series = "16th International Conference on Network and Service Management, CNSM 2020, 2nd International Workshop on Analytics for Service and Application Management, AnServApp 2020 and 1st International Workshop on the Future Evolution of Internet Protocols, IPFuture 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Nur Zincir-Heywood and Mehmet Ulema and Muge Sayit and Stuart Clayman and Myung-Sup Kim and Cihat Cetinkaya",
booktitle = "16th International Conference on Network and Service Management, CNSM 2020, 2nd International Workshop on Analytics for Service and Application Management, AnServApp 2020 and 1st International Workshop on the Future Evolution of Internet Protocols, IPFuture 2020",
address = "United States",
}