Monitoring Connectivity of Internet of Things Device on Zigbee Protocol
| Autor: | Kurniabudi, Rahmat Budiarto, Benni Purnama, Sharipuddin, Deris Stiawan, Darmawijoyo Hanapi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Traffic analysis
business.industry Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Testbed 020206 networking & telecommunications 02 engineering and technology Encryption Set (abstract data type) Analytics 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020201 artificial intelligence & image processing business Communications protocol Protocol (object-oriented programming) Computer network |
| Zdroj: | 2018 International Conference on Electrical Engineering and Computer Science (ICECOS). |
| DOI: | 10.1109/icecos.2018.8605225 |
| Popis: | Internet of Things (IoT) networks operators may not be fully aware whether each IoT device in their network is functioning safe enough from cyber-attacks. This paper develops an IoT traffic dataset with the purpose of of network traffic analytics to characterize IoT devices, including their typical behaviour mode. We set up an IoT environment/testbed consists of several sensors/nodes and uses Zigbee communication protocol to collect and synthesize traffic traces. Normal dataset and anomaly/attack dataset are built using AES technique. We then perform the traffic analysis using key extraction technique. The analysis approach used in this work provides good results in differentiating anomaly from normal traffic. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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