@inproceedings{65c582c06af84a5b94eac0d362e75157,
title = "MACCA: A SDN Based Collaborative Classification Algorithm for QoS Guaranteed Transmission on IoT",
abstract = "Software defined network (SDN) can effectively balance link loads and guarantee QoS for different application categories of data streams on Internet of Things (IoT). To achieve high accuracy and low time consumption for stream classification for SDN, the collaborative methods are considered. By analyzing the data sets of network flows on CyberGIS and IoT, a Misclassification-Aware Collaborative Classification Algorithm named MACCA is proposed. MACCA collaborates the misclassification results judgment module and the decision module to calculate the final classification results, thus it can avoid the reduction of overall accuracy caused by voting to determine the results. The evaluation results show that the MACCA can classify the network data streams efficiently with an average accuracy of 99.66% and a lower time consumption compared to other classification algorithms, which can be implemented on SDN-based networks.",
keywords = "Collaborative classification, CyberGIS, IoT, Misclassification judgment, SDN",
author = "Weifeng Sun and Zun Wang and Guanghao Zhang and Boxiang Dong",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 15th International Conference on Advanced Data Mining and Applications, ADMA 2019 ; Conference date: 21-11-2019 Through 23-11-2019",
year = "2019",
doi = "10.1007/978-3-030-35231-8_60",
language = "English",
isbn = "9783030352301",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "815--827",
editor = "Jianxin Li and Sen Wang and Shaowen Qin and Xue Li and Shuliang Wang",
booktitle = "Advanced Data Mining and Applications - 15th International Conference, ADMA 2019, Proceedings",
}