Data · dataset · 2023
Dataset for An Automatic Unsupervised Complex Event Processing Rules Generation Architecture for Real-Time IoT Attacks Detection
Listed in Teesside University Research Data Repository
Dataset used to perform the experiments of the article "An Automatic Unsupervised Complex Event Processing Rules Generation Architecture for Real-Time IoT Attacks Detection".
Description
The distribution between training and testing is as follows: Normal: 50% training, 50% testing Subscription fuzzing: 80% training, 20% testing Disconnection wave: 15%training, 85% testing TCP SYN Scan: 10% training, 90% testing UDP port Scan: 10% training, 90% testing XMAS Scan: 10% training, 90% testing Telnet Connection: 10% training, 90% testing
Links
Where it is published
- DOI doi.org/10.17632/pzhm3jnw6w.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/pzhm3jnw6w.1 | 16 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |