Version 1
: Received: 13 August 2018 / Approved: 14 August 2018 / Online: 14 August 2018 (03:25:34 CEST)
How to cite:
Domanska, J.; Czachorski, T.; Nowak, M.; Nowak, S. Cognitive Packet Networks for the Secure Internet of Things. Preprints2018, 2018080237. https://doi.org/10.20944/preprints201808.0237.v1
Domanska, J.; Czachorski, T.; Nowak, M.; Nowak, S. Cognitive Packet Networks for the Secure Internet of Things. Preprints 2018, 2018080237. https://doi.org/10.20944/preprints201808.0237.v1
Domanska, J.; Czachorski, T.; Nowak, M.; Nowak, S. Cognitive Packet Networks for the Secure Internet of Things. Preprints2018, 2018080237. https://doi.org/10.20944/preprints201808.0237.v1
APA Style
Domanska, J., Czachorski, T., Nowak, M., & Nowak, S. (2018). Cognitive Packet Networks for the Secure Internet of Things. Preprints. https://doi.org/10.20944/preprints201808.0237.v1
Chicago/Turabian Style
Domanska, J., Mateusz Nowak and Slawomir Nowak. 2018 "Cognitive Packet Networks for the Secure Internet of Things" Preprints. https://doi.org/10.20944/preprints201808.0237.v1
Abstract
SerIoT is a Research and Innovation Project funded by the European Commission to demonstrate secure networks for the Internet of Things (IoT). This paper presents an overview of the design for smart and secure network infrastructures for the IoT, based on Software Defined Networks (SDN), named the SerCPN system, whose main component is a smart SDN-Controller with online cognitive security surveillance and reporting, which establishes and dynamically modifies paths that enhance security for IoT devices and end users, and offers a high quality of service (QoS) with required security constraints. This online cognitive surveillance and path management is based on the Cognitive Packet Network (CPN) principle and uses Random Neural Networks (RNN) for decision making.
Keywords
internet of things (IoT); security; quality of service; energy; cognitive packet network; SerIoT
Subject
Computer Science and Mathematics, Information Systems
Copyright:
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.