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Update README.md #1

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Expand Up @@ -4,7 +4,7 @@ LUFlow contains telemetry containing emerging attack vectors through the composi
The labelling mechanism is autonomous, enabling the constant capture, labelling and publishing of telemetry to this repository.
Flows which were unable to be determined as malicious, but are not part of the normal telemetry profile are labelled as outliers. These are included to encourage further analysis to discover the true intent behind their actions. Known normal traffic is also captured from production services, e.g. ssh and database traffic, and included in this data set.

This data set is constantly updated using the [Citrus](https://github.com/ruzzzzz/Citrus) framework. This repository is structured into the year and month the telemetry was captured. For example, to find telemtry captured within September 2020, the folder 2020/09 is used.
This data set is constantly updated using the [Citrus](https://github.com/ruzzzzz/Citrus) framework. This repository is structured into the year and month the telemetry was captured. For example, to find telemetry captured within September 2020, the folder 2020/09 is used.

# Features
The telemetry is captured using Cisco's [Joy](https://github.com/cisco/joy) tool. This tool records multiple measurements associated with flows.
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