Research @ NEXTCON is funded by
QUALCOMM
Inc. Â (through
Wireless Internet of Things Lab at Clarkson)
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1.
Contiki-NG-Based IoT Networks Exposed to NSL-KDD Dataset
Please cite the following publication when this
dataset is used for research:
J. Liu, B. Kantarci, C. Adams "Machine Learning-Driven Intrusion
Detection for Contiki-NG-Based IoT Networks Exposed to NSL-KDD Dataset" ACM Workshop on Wireless Security and Machine Learning (WiseML), Linz, Austria (Virtual Event), July
2020 [invited]. (Bibtex)
2.
Mobile Crowdsensing Dataset for Fake Sensing Task
Detection
Please cite the following publication when this dataset is used for research: Chen, Zhiyan, Murat
Simsek, and Burak Kantarci. "Region-Aware Bagging and Deep
Learning-Based Fake Task Detection in Mobile Crowdsensing Platforms." GLOBECOM
2020-2020 IEEE Global Communications Conference. IEEE, 2020. (Bibtex)
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