Table of Contents Author Guidelines Submit a Manuscript
Security and Communication Networks
Volume 2017, Article ID 7892182, 19 pages
https://doi.org/10.1155/2017/7892182
Research Article

Predictive Abuse Detection for a PLC Smart Lighting Network Based on Automatically Created Models of Exponential Smoothing

Institute of Telecommunications and Computer Science, Faculty of Telecommunications, Computer Science and Electrical Engineering, University of Technology and Life Sciences in Bydgoszcz (UTP), Ul. Kaliskiego 7, 85-789 Bydgoszcz, Poland

Correspondence should be addressed to Tomasz Andrysiak; lp.ude.ptu@syrdna

Received 23 July 2017; Accepted 19 September 2017; Published 25 October 2017

Academic Editor: Steffen Wendzel

Copyright © 2017 Tomasz Andrysiak et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Tomasz Andrysiak, Łukasz Saganowski, and Piotr Kiedrowski, “Predictive Abuse Detection for a PLC Smart Lighting Network Based on Automatically Created Models of Exponential Smoothing,” Security and Communication Networks, vol. 2017, Article ID 7892182, 19 pages, 2017. https://doi.org/10.1155/2017/7892182.