Detecting Unusual Repetitive Patterns of Behavior Indicative of a Loop-Based Attack in IoT
Asmaa Munshi, Alessandra Rizzardi · 2024
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Description
Asmaa Munshi and Alessandra Rizzardi hunt for loop-shaped attacks on smart devices. Their paper, from twenty twenty-four, works with Internet of Things gear. Such devices have weak batteries and small brains, so classic attack guards fit poorly. Loop attacks repeat the same steps in a cycle to wear a target down or slip past watchers.
The team pulled loop cases from a known capture of device malware traffic. Nine learning models were trained to spot the loop patterns. A boosting model called XGBoost came out on top across the scores. Its precision and recall both ran high. The study argues loop shape itself is a strong tell for this attack kind.
Catalog record
| CREATOR | Asmaa Munshi, Alessandra Rizzardi |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 67 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |