EMBER (Elastic Malware Benchmark for Empowering Researchers)

 The EMBER (Elastic Malware Benchmark for Empowering Researchers) dataset is an important resource for machine learning in the context of cybersecurity, specifically for malware detection. Here are the details:

- **Overview**: EMBER is a collection of features extracted from PE (Portable Executable) files, serving as a benchmark dataset for training static PE malware machine learning models. The dataset includes features from PE files scanned in or before 2017 (EMBER2017) and 2018 (EMBER2018)【83†source】.

- **Contents**: 

  - EMBER2017 contains features from 1.1 million PE files.

  - EMBER2018 includes features from 1 million PE files.

- **URLs for Download**:

  - EMBER2017 (Feature Version 1): [Download Link](https://ember.elastic.co/ember_dataset.tar.bz2)

  - EMBER2017 (Feature Version 2): [Download Link](https://ember.elastic.co/ember_dataset_2017_2.tar.bz2)

  - EMBER2018 (Feature Version 2): [Download Link](https://ember.elastic.co/ember_dataset_2018_2.tar.bz2)【84†source】.

- **Repository**: The GitHub repository for EMBER provides additional resources and tools to train benchmark models, extend the feature set, or classify new PE files using these models【82†source】.

This dataset is particularly useful for researchers and professionals in the field of cybersecurity who are focusing on developing and enhancing machine learning models for malware detection and analysis.