Securing the Internet of Things (IoT) against possible intrusions based on Channel State Information (CSI) and Peak to Average Power (PAPR) Reduction

Abstract

Conventional computer networks are being replaced with more pervasive networks such as the Internet of Things (IoT) and fog computing networks. Pervasive networks lay a constraint on the amount of processing power and memory for the diverse type of connected devices. This leads to investigating security measures which can be applied to the pervasive network structure so that it secures the network at multiple levels of the OSI model. This paper presents a proactive approach which combines leveraging the channel state information (CSI) as well as minimizing the PAPR of the system so as to enhance the security in both aspects of security aware channel assignment as well as introducing imperceptibility in data transmission over the security aware channel assignment protocol. The effectiveness of leveraging security aware channel assignment is evaluated in terms of the BER and sum secrecy rate of the system while the imperceptibility is evaluated in terms of the PAPR or crest factor value. The paper also combines MIMO-equalization so as to enhance the spectral efficiency of the system. A comparison with existing work in the domain clearly demonstrates the improvement of the proposed approach in terms of the performance metrics.