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.
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Publication Details
Subfield
Artificial Intelligence
Field
Computer Science
Domain
Physical Sciences
Confidence Score
45%
Source
Scholar Data Model