@inproceedings{13bd07f800a04b939b81d211749334cd,
title = "Ada-boosted locally enhanced probabilistic neural network for IoT intrusion detection",
abstract = "This paper proposes an intelligent and compact Probabilistic Neural Network which integrates locally enhanced semi-parametric base classifiers with AdaBoosting for intrusion detection system in IoT environment. The proposed model is to provide an improved intrusion detection at an affordable computational complexity. The proposed model is applied to the benchmark data sets for experiment and shows comparable intrusion detection performance at a reduced computational cost for real time use.",
author = "Tony Jan",
note = "Publisher Copyright: {\textcopyright} 2019, Springer International Publishing AG, part of Springer Nature.; 12th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2018 ; Conference date: 04-07-2018 Through 06-07-2018",
year = "2019",
doi = "10.1007/978-3-319-93659-8_52",
language = "English",
isbn = "9783319936581",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "583--589",
editor = "Leonard Barolli and Makoto Ikeda and Makoto Takizawa and Nadeem Javaid",
booktitle = "Complex, Intelligent, and Software Intensive Systems - Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems CISIS-2018",
}