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Raspberry Pi SSH Intrusion Logs
Data Science and Analytics
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About
Recording over 173,000 failed authentication attempts, this dataset captures intrusion logs from a Raspberry Pi exposed to the internet. It provides a granular look at SSH brute force attacks, detailing the origins, timing, and credentials used by automated bots and malicious actors. The logs serve as a valuable resource for cybersecurity professionals and enthusiasts aiming to analyse attack patterns, identify common botnet behaviours, and understand the prevalence of specific usernames and ports in unauthorised access attempts.
Columns
- Month: The month in which the login attempt occurred (primarily February and March).
- DayOftheMonth: The specific day of the month for the recorded attempt.
- Time: The timestamp indicating the precise hour and minute of the login attempt.
- Username: The username attempted by the intruder (e.g., 'root', 'user').
- IPAddress: The source IP address from which the connection attempt originated.
- Port: The destination port targeted during the intrusion attempt.
Distribution
- Format: CSV
- Size: 7.39 MB
- Structure: 173,000 rows (records)
- Data Validity: 100% valid records with no missing values in primary columns.
Usage
- Cybersecurity Analysis: Investigating brute-force attack strategies and credential dictionary usage.
- Network Defence: Identifying malicious IP addresses for blacklist generation.
- Botnet Tracking: Analysing peak activity times to determine botnet scheduling and origins.
- Data Visualisation: Creating heatmaps of attack times or geographic sources of intrusion.
- Port Scanning Research: Examining which non-standard ports are targeted alongside standard SSH ports.
Coverage
- Geographic Scope: Global (contains source IP addresses from various locations).
- Time Range: Data reflects activity recorded during February and March (specifically 2022).
- Demographic Scope: Non-human actors (automated bots and scripts).
- Note: While the original description notes potential ambiguity regarding exact dates, the data files contain precise timestamps and date markers for the captured window.
License
CC0: Public Domain
Who Can Use It
- Cybersecurity Researchers: For threat intelligence and pattern recognition.
- System Administrators: To understand common vulnerabilities and improve server hardening.
- Data Analysts: Practising forensic data analysis and visualisation techniques on real-world logs.
- Students: Learning about network security and intrusion detection systems.
Dataset Name Suggestions
- Raspberry Pi SSH Intrusion Logs
- Brute Force Authentication Attempts 2022
- Cybersecurity: Failed SSH Login Dataset
- IoT Botnet Attack Logs
Attributes
Original Data Source: Raspberry Pi SSH Intrusion Logs
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