Distinguishing between high entropy bit streams
<p>This dataset contains the curated files, classified by type and extension so that other researchers can compute their features and replicate outcomes. </p> <p> </p> <p>A total of 5 datasets (i.e., one according to each file size denoted as 64, 128, 256, 512, and 1024) each one consisting of exactly 50% encrypted and 50% compressed files.</p> <p>-The encryption algorithms used to generate the files were:</p> <p>AES(128 / 192 / 256) and Camelia(128 / 192 / 256</p> <p> </p> <p>-In the case of compressed files:</p> <p>ZIP RAR BZIP2 GZIP</p> <p> </p> <p>-Different source files were considered to generate the encrypted and compressed files. </p> <p>COCO Dataset (http://cocodataset.org/home) <br> Microsoft Research (https://www.microsoft.com/en-us/research/project/rgb-d-dataset-7-scenes/)<br> ArXiv (https://arxiv.org/)<br> Project Gutenberg (https://www.gutenberg.org/)<br> Several classical music symphonies in MP3 format <br> YouTube-8M dataset<br> Binaries extracted from system32 in Win10 x64 and sbin from Ubuntu 16.04</p> <p> </p> <p> </p> <p> </p> <p> </p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 8
Topics
Dataset details
- Repository
- zenodo
- Published
- October 22, 2021
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.5148541
Scored with release 0.9.0
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