Machine Vision Based Wireless Link Layer Anomaly Characterization

Author:

Jovanov Valerij1ORCID,Bertalanic Blaz1ORCID,Fortuna Carolina1ORCID

Affiliation:

1. Department of Communication Systems, Jozef Stefan Institute, Ljubljana, Slovenia

Funder

Slovenian Research Agency

Publisher

ACM

Reference15 articles.

1. Blaž Bertalanič , Marko Meža , and Carolina Fortuna . 2022. Resource-Aware Time Series Imaging Classification for Wireless Link Layer Anomalies . IEEE Transactions on Neural Networks and Learning Systems ( 2022 ). Blaž Bertalanič, Marko Meža, and Carolina Fortuna. 2022. Resource-Aware Time Series Imaging Classification for Wireless Link Layer Anomalies. IEEE Transactions on Neural Networks and Learning Systems (2022).

2. Blaz Bertalanic , Halil Yetgin , Gregor Cerar , and Carolina Fortuna . 2021 . A deep learning model for anomalous wireless link detection . In 2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 265--270 . Blaz Bertalanic, Halil Yetgin, Gregor Cerar, and Carolina Fortuna. 2021. A deep learning model for anomalous wireless link detection. In 2021 17th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 265--270.

3. Learning to Detect Anomalous Wireless Links in IoT Networks

4. Convolutional Neural Network Analysis of Recurrence Plots for Anomaly Detection

5. Kukjin Choi , Jihun Yi , Changhwa Park , and Sungroh Yoon . 2021. Deep learning for anomaly detection in time-series data: review, analysis, and guidelines . IEEE Access ( 2021 ). Kukjin Choi, Jihun Yi, Changhwa Park, and Sungroh Yoon. 2021. Deep learning for anomaly detection in time-series data: review, analysis, and guidelines. IEEE Access (2021).

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