Developing a comprehensive BACnet attack dataset: A step towards improved cybersecurity in building automation systems
Seyed Amirhossein Moosavi, Mojtaba Asgari, Seyed Reza Kamel · 2024
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Description
Seyed Amirhossein Moosavi, Mojtaba Asgari, and Seyed Reza Kamel build a training dataset for guarding smart buildings, in a 2024 paper. Smart buildings run heating and cooling gear through a shared protocol called BACnet, and attack-detection software needs examples of normal traffic and real attacks to learn from. Such data is rarely shared, since building records are kept private.
The team worked around that gap by rebuilding real traffic from older datasets inside a simulated building network. They then staged three kinds of attack: forged messages, altered messages, and hidden channels carrying plain, hashed, or scrambled text. All traffic was recorded in standard files. Because the base data came from real buildings, the set behaves like real traffic, which makes it useful for training detection tools.
Catalog record
| CREATOR | Seyed Amirhossein Moosavi, Mojtaba Asgari, Seyed Reza Kamel |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 28 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |