ROUT-4-2023: RPL Based Routing Attack Dataset for IoT

- Citation Author(s):
- Submitted by:
- Murat EMEC
- Last updated:
- DOI:
- 10.21227/3mbe-5j70
- Data Format:
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Abstract
This dataset consists of “.csv” files of 4 different routing attacks (Blackhole Attack, Flooding Attack, DODAG Version Number Attack, and Decreased Rank Attack) targeting the RPL protocol, and these files are taken from Cooja (Contiki network simulator). It allows researchers to develop IDS for RPL-based IoT networks using Artificial Intelligence and Machine Learning methods without simulating attacks. Simulating these attacks by mimicking real-world attack scenarios is essential to developing and testing protection mechanisms against such attacks. For these researchers, it may offer an alternative approach to intrusion detection systems that have limitations of traditional methods. This requires identifying appropriate attributes that include characteristics of attacks, analyzing network traffic data, and considering other relevant parameters. It is also essential that your dataset is balanced and representative so that your model can accurately identify and predict different types of attacks. In conclusion, this study is a critical step for IoT security. By simulating four routing attacks to IoT devices through Cooja, we present a new dataset to detect attacks for applications in artificial intelligence and machine learning methods.
Instructions:
Features and descriptions in the ROUT-4-2023 dataset:
Name/Abbreviation | Description |
TIME | Simulation time |
SOURCE | Source Node IP |
DESTINATION | Destination Node IP |
LENGTH | Packet Length |
INFO | Packet Information |
TR | Transmission Rate(per 1000_ms) |
RR | Reception Rate(per 1000 ms) |
TAT | Transmission Average Time |
RAT | Reception Average Time |
TPC | Transmitted Packet Count(per second) |
RPC | Received Packet Count(per second) |
TTT | Total Transmission Time |
TRT | Total Reception Time |
DAO | DAO Packet Count |
DIS | DIS Packet Count |
DIO | DIO Packet Count |
CATEGORY | Attack Type or Normal |
LABEL | Normal/Malicious Label |
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