An Efficient Flow-Based Anomaly Detection System for Enhanced Security in IoT Networks
Ibrahim Mutambik · 2024
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Description
Ibrahim Mutambik, in a solo paper from twenty twenty-four, built a flow based system to spot odd traffic in IoT networks. Smart devices now sit in health, transport, and farm work. Their weak hardware leaves them open to attack and puts whole networks at risk. Behavior based guards can catch threats well. But they lean on pre labeled data and heavy computing, which hurts real use.
Mutambik aimed at a leaner guard that watches data flows, not packet contents. The design seeks strong catch rates with less cost and less need for labels. Readers who guard smart device networks get a plan fit for small devices. The work weighs catch power against the tight limits of IoT gear.
Catalog record
| CREATOR | Ibrahim Mutambik |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 54 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |