Life & fun · November 11, 2019
Midas, Microcluster-Based Detector of Anomalies in Edge Streams
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. - Stream-AD/MIDAS
Midas, Microcluster-Based Detector of Anomalies in Edge Streams launched on November 11, 2019 with 15 votes, #781 of 3,203 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
Midas is an anomaly detection system designed for edge computing environments that process continuous data streams. It uses a microcluster-based approach to identify unusual patterns in real-time data. The tool is intended for developers and data engineers who need to monitor streaming data at edge nodes. It stands out for its focus on efficient anomaly detection in distributed, resource-constrained environments. The project is available on GitHub.
written from the facts on this page · September 2026
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Midas, a Streaming Anomaly Detector. Now Implemented in Go2020 · github.com · ▲88Go implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams - steve0hh/midas
- IDIntrusion Detection in Real-time2020 · arxiv.org · ▲69
Abstract page for arXiv paper 1911.04464: MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
Midas, a Streaming Anomaly Detector2020 · github.com · ▲11Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. - Stream-AD/MIDAS
Fast Real-Time Anomaly Detection in Dynamic Graphs2020 · github.com · ▲118Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. - Stream-AD/MIDAS
Memory-Based Anomaly Detection in Multi-Aspect Streams2021 · github.com · ▲36MemStream: Memory-Based Streaming Anomaly Detection - Stream-AD/MemStream
Anomaly Detection in Ruby2020 · github.com · ▲24Edge stream anomaly detection for Ruby. Contribute to ankane/midas-ruby development by creating an account on GitHub.
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