Published on 01 January 2024

MNET2024

View Dataset
Zhang, Han

Description

Based on the research requirements, we have created the MNET2024 (Malicious and Encrypted Traffic 2024) dataset, which satisfies the conditions of encrypted benign data and encrypted malicious data. The dataset includes 10 types of benign encrypted data, such as P2P, web browsing, and email, which are collected from real traffic sources. It also includes ten types of malicious encrypted traffic sourced from the Stratosphere Lab’s [14] open-source malicious traffic dataset, such as Dridex and Emotet. For application types with a limited number of samples, corresponding malware is executed in a relatively secure sandbox environment to supplement the dataset. 

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

13%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

IEEE DataPort

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

45%

Source

Scholar Data Model

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00