Datasets:
updates readme and adds sample data
Browse files- Data/CertificateFeatures-sample.parquet +3 -0
- README.md +7 -1
Data/CertificateFeatures-sample.parquet
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8a98afde36b3a5187cfb7d032783f478f8157b2c2d9c59b869f29538d0f909e8
|
3 |
+
size 90600349
|
README.md
CHANGED
@@ -11,6 +11,9 @@ tags:
|
|
11 |
size_categories:
|
12 |
- 10M<n<100M
|
13 |
pretty_name: Machine Identity Spectra Dataset
|
|
|
|
|
|
|
14 |
---
|
15 |
|
16 |
# Venafi Machine Identity Spectra Dataset
|
@@ -22,7 +25,7 @@ This collection of data contains extracted features from 19m+ certificates disco
|
|
22 |
public internet between July 20 and July 26, 2023.
|
23 |
The features are a combination of X.509 certificate features, RFC5280 compliance checks,
|
24 |
and other attributes intended to be used for clustering, features analysis, and a base for supervised learning tasks (labels not included).
|
25 |
-
Some rows may contain nan values as well and as such could require
|
26 |
|
27 |
Venafi is excited to engage with the data science community to increase the adoption of machine learning techniques
|
28 |
in the machine identity management and wider security domains.
|
@@ -32,6 +35,9 @@ The extracted features are contained in the Data folder as certificateFeatures.c
|
|
32 |
approximately 10GB and contains 98 extracted features for approximately 19m certificates. A description of the features
|
33 |
and expected data types is contained in the base folder as features.csv.
|
34 |
|
|
|
|
|
|
|
35 |
## Clustering and PCA Example
|
36 |
|
37 |
To demonstrate a potential use of the data, clustering and Principal Component Analysis (PCA) were
|
|
|
11 |
size_categories:
|
12 |
- 10M<n<100M
|
13 |
pretty_name: Machine Identity Spectra Dataset
|
14 |
+
configs:
|
15 |
+
- config_name: sample_data
|
16 |
+
data_files: Data/CertificateFeatures-data.parquet
|
17 |
---
|
18 |
|
19 |
# Venafi Machine Identity Spectra Dataset
|
|
|
25 |
public internet between July 20 and July 26, 2023.
|
26 |
The features are a combination of X.509 certificate features, RFC5280 compliance checks,
|
27 |
and other attributes intended to be used for clustering, features analysis, and a base for supervised learning tasks (labels not included).
|
28 |
+
Some rows may contain nan values as well and as such could require additional pre-processing for certain tasks.
|
29 |
|
30 |
Venafi is excited to engage with the data science community to increase the adoption of machine learning techniques
|
31 |
in the machine identity management and wider security domains.
|
|
|
35 |
approximately 10GB and contains 98 extracted features for approximately 19m certificates. A description of the features
|
36 |
and expected data types is contained in the base folder as features.csv.
|
37 |
|
38 |
+
The Data folder also contains a 500k row sample of the data in parquet format. This is displayed in the Data Viewer
|
39 |
+
for easy visual inspection of the dataset.
|
40 |
+
|
41 |
## Clustering and PCA Example
|
42 |
|
43 |
To demonstrate a potential use of the data, clustering and Principal Component Analysis (PCA) were
|