SoK: A Taxonomy for Anomaly Detection in Wireless Sensor Networks focused on Node-level Techniques
| Author: | Dominik WidhalmORCiD, Karl M. GoeschkaORCiD, Wolfgang Kastner |
|---|---|
| Parent Title (English): | Proceedings of 15th International Conference on Availability, Reliability and Security (ARES 2020), 25-28 August 2020, Virtual Event, Ireland |
| Document Type: | Conference Proceeding |
| Language: | English |
| Completed Date: | 2020/08/25 |
| Date of first Publication: | 2020/11/03 |
| Responsibility for metadata: | Fachhochschule Technikum Wien |
| Release Date: | 2020/11/03 |
| GND Keyword: | anomaly detection; computational intelligence; node-level anomaly; taxonomy; wireless sensor networks |
| Pagenumber: | 10 |
| Publish on Website: | 1 |
| Open Access: | 0 |
| Reviewed: | 1 |
| Invited: | 0 |
| Keynote: | 0 |
| Department: | Department Electronic Engineering |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
| Research Focus: | Embedded Systems & Cyber-Physical Systems |
| Projects: | Import |
| Studienjahr: | 2019/2020 |
