vinayakumarr/CDMC2016
Cybersecurity Data Mining Competition 2016
This project helps cybersecurity analysts and IT operations teams automatically identify unusual activity in system logs and detect Android malware. By inputting operational logs or Android application data, it helps pinpoint anomalies and classify potential threats. It's designed for security professionals responsible for monitoring system health and protecting mobile devices.
No commits in the last 6 months.
Use this if you need to automate the detection of security incidents or malicious applications based on operational logs or Android app data.
Not ideal if you are looking for a general-purpose security tool that covers network traffic analysis or other security domains beyond logs and Android malware.
Stars
11
Forks
4
Language
Python
License
—
Category
Last pushed
Jan 19, 2019
Commits (30d)
0
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