Abstract
Graphs are suitable to model topology and data patterns in systems such as WSNs. To detect change, there is a need for graph comparison, a computationally demanding task difficult to run on constrained devices. For monitoring, the definition of normal patterns, and deviation from normal are required. In this contribution a flexible graph comparison method allowing monitoring of normal patterns and metrics providing measures of deviation from normal are proposed. In this manuscript, we apply the method to the system modelled by synthetic and random graphs. We demonstrate that the fingerprints of normal topology and data patterns can be acquired with the measures of deviation from normal. We discuss applicability of the method at the edge of WSNs.
| Original language | English |
|---|---|
| Title of host publication | 2022 11th Mediterranean Conference on Embedded Computing, MECO 2022 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| ISBN (Electronic) | 9781665468282, 9781665468275 |
| ISBN (Print) | 9781665468299 |
| DOIs | |
| Publication status | Published - 21 Jun 2022 |
| Event | Mediterranean Conference on Embedded Computing: Cyber-Physical Systems and Internet-of-Things - Budva, Montenegro Duration: 7 Jun 2022 → 10 Jun 2022 https://mecoconference.me/cpsiot2022/ |
Publication series
| Name | Mediterranean Conference on Embedded Computing |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2377-5475 |
| ISSN (Electronic) | 2637-9511 |
Conference
| Conference | Mediterranean Conference on Embedded Computing |
|---|---|
| Abbreviated title | MECO CPSIoT |
| Country/Territory | Montenegro |
| City | Budva |
| Period | 7/06/22 → 10/06/22 |
| Internet address |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- Wireless Sensor Networks (WSNs)
- Data pattern
- Topology
- Graph Comparison
- Monitoring
- Anomaly Detection
- Cyber Security