daisy-field/daisy

A Framework for Fully Distributed, Anomaly-Based Intrusion Detection in Security-Oriented Edge Computing Environments.

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Experimental

This framework helps security operations teams design and deploy customized intrusion detection systems (IDS) across distributed edge computing environments. It takes your chosen anomaly detection models and real-time network traffic data to identify and alert on unusual patterns, protecting critical systems from cyber threats. Security architects and operations engineers are the primary users.

Use this if you need to build and deploy tailored, distributed anomaly-based intrusion detection systems specifically optimized for edge computing environments.

Not ideal if you're looking for an out-of-the-box, pre-configured IDS solution or if your environment is not distributed across edge devices.

network-security intrusion-detection edge-computing cybersecurity-operations anomaly-detection

No Package No Dependents

Maintenance 6 / 25

Adoption 5 / 25

Maturity 16 / 25

Community 0 / 25

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Language

Python

License

MPL-2.0

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