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International Conference on Wireless Communications and Signal Processing (WCSP)

Design and Optimization of Physical Layer Security Transmission Scheme in Random Cognitive Internet of Things

Zeyuan Zhu, Baoquan Yu, Xiaojing Chu, Yueming Cai

Published Oct 1, 2019• 0 citations
Publisher

Abstract

Aiming at the cognitive wireless network in which the primary user communication pairs, the secondary user communication pairs and the eavesdropping nodes are randomly distributed, this paper designs an opportunistic transmission scheme. According to the random geometry theory, the primary user communication pairs, the secondary user communication pairs and the eavesdropping nodes are modeled as a Poisson point process, and then under the condition that the channel estimation error of the primary channel exists and the channel state information of the eavesdropping channel is unknown, the closed expression of the system's secrecy outage probability, connection outage probability, and secrecy throughput is derived. Using the designed opportunistic transmission scheme, the expression of system secrecy throughput is further obtained under the constraints of connection outage probability and secrecy outage probability. Finally, under the requirements of security and reliability, aiming at maximizing the secrecy throughput, the optimal pilot length under the transmission scheme is obtained, and the optimal pilot length with the transmit power and block fading length is studied. The simulation results verify the correctness of the theoretical analysis and show that the gain of throughput is obviously improved after the pilot is added.

DOI
10.1109/wcsp.2019.8927862

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Aiming at the cognitive wireless network in which the primary user communication pairs, the secondary user communication pairs and the eavesdropping nodes are randomly distributed, this paper designs an opportunistic transmission scheme. According to the random geometry theory, the primary user communication pairs, the secondary user communication pairs and the eavesdropping nodes are modeled as a Poisson point process, and then under the condition that the channel estimation error of the primary channel exists and the channel state information of the eavesdropping channel is unknown, the closed expression of the system's secrecy outage probability, connection outage probability, and secrecy throughput is derived. Using the designed opportunistic transmission scheme, the expression of system secrecy throughput is further obtained under the constraints of connection outage probability and secrecy outage probability. Finally, under the requirements of security and reliability, aiming at maximizing the secrecy throughput, the optimal pilot length under the transmission scheme is obtained, and the optimal pilot length with the transmit power and block fading length is studied. The simulation results verify the correctness of the theoretical analysis and show that the gain of throughput is obviously improved after the pilot is added.
This paper designs a new chance transmission scheme for the cognitive wireless network with randomly distributed wiretap nodes. Under the condition that the channel estimation error exists at receiver and the channel information of the wiretap channel is unknown, the closed expression of the system's secrecy outage probability, connection outage probability and secrecy throughput is deduced. Based on these, we obtain the trade-off between the secrecy throughput and energy efficiency. Finally, under the requirement of security and reliability, the optimal pilot length and transmit power under the transmission scheme are obtained by maximizing the compromise function. The simulation results verify the correctness of the theoretical analysis and show that the gain of the net secrecy throughput is improved after adding the pilot. Considering the energy efficiency, the transmit power has an optimal value to maximize compromise function, and we obtain the expression of most superior power.
The authors study the secure transmission design in random cognitive radio networks where the primary users, the secondary users and the eavesdroppers are randomly distributed according to Poisson point processes. Centring on this scenario, the authors propose a simple and decentralised secure transmission scheme by jointly incorporating the secrecy guard zone and artificial noise. In particular, this transmission scheme helps to enhance secrecy performance via differentiating between secondary transmitters in accordance with the eavesdropping environment. They then analyse the connection outage and secrecy outage performance of the secondary network, based on which they obtain the closed‐form expression of the secrecy throughput. They further determine the optimal transmission power of the secondary transmitters and the optimal power allocation between the information‐bearing signal and artificial noise to maximise the secrecy throughput of the secondary network under primary and secondary outage constraints. The authors’ analysis highlights that introducing secrecy guard zone provides better security performance, and artificial noise performs as additional interference to insert a control between the reliability and security. Numerical results show how the system parameters affect the achievable maximum secrecy throughput, the optimal transmission power and the optimal power allocation between the information‐bearing signal and the artificial noise.
This paper studies the physical layer security (PLS) in an underlay cognitive radio (CR) network. Under an interference constraint set by the primary user, we propose a secure transmission scheme from a secondary source to a secondary destination in the presence of spatially random eavesdroppers, the distribution of which is modeled as a homogeneous Possion point process (PPP). In addition to transmitting the message signal, the secondary source is allowed to use part of its power to transmit jamming signals in order to interfere the eavesdroppers. Assuming that the secondary destination has the knowledge of the jamming signals, we derive the closed-form expression for the connection outage probability and an easy-to-compute expression for the secrecy outage probability to characterize the reliability and the security performance, respectively. Moreover, we determine the optimal power allocation factor and wiretap code rates which maximize the secrecy throughput of the wiretap channel under secrecy outage probability constraint.
This paper investigates the physical layer security for a cognitive satellite-terrestrial Internet-of-Things (IoT) network where a secondary base station (BS) communicates with multiple secondary users (Us) in the presence of an adaptive eavesdropper, which performs eavesdropping when the channel quality of the eavesdropping link is good and performs jamming otherwise. We consider a real situation where mutual interference exists between primary and secondary networks. Considering multiple secondary users available, we propose suboptimal user scheduling and optimal scheduling schemes to improve the secure transmission of BS-Us. Specifically, a user that maximizes the secrecy capacity of the system will be selected in the optimal scheduling scheme, which assumes that the channel state information (CSI) of all links is available. By contrast, the suboptimal scheduling scheme only knows the main links’ CSI, so the user maximizing the CSI of the main links is chosen. We derive the exact and asymptotic closed-form secrecy outage probability expressions for suboptimal and optimal scheduling schemes. For comparison, we also obtain the exact and asymptotic closed-form secrecy outage probability expressions for round-robin scheme. Numerical results show that the suboptimal and optimal user scheduling schemes perform better than round-robin user scheduling scheme in terms of secrecy outage probability. In addition, the secrecy performance of proposed suboptimal and optimal schemes can be improved by increasing the number of secondary users.
In this paper, we study physical layer security in an underlay cognitive radio (CR) network. We consider the problem of secure communication between a secondary transmitter-receiver pair in the presence of randomly distributed eavesdroppers under an interference constraint set by the primary user. For different channel knowledge assumptions at the transmitter, we design four transmission protocols to achieve the secure transmission in the CR network. We give a comprehensive performance analysis for each protocol in terms of transmission delay, security, reliability, and the overall secrecy throughput. Furthermore, we determine the optimal design parameter for each transmission protocol by solving the optimization problem of maximizing the secrecy throughput subject to both security and reliability constraints. Numerical results illustrate the performance comparison between different transmission protocols.
Smart homes can improve the quality of life and be implemented by Internet of Things (IoT) technologies. However, security is a very important issue in smart homes. For this reason, we propose a secrecy transmission protocol for primary user (PU) by selecting friendly jammer in cognitive IoT model. In particular, a secondary transmitter (ST) is selected to transmit secondary signals by the PU's frequency spectrum, while another ST is chosen to transmit artificial noise to protect the transmission confidentiality of the PU against eavesdropping. Moreover, two selection schemes are presented to confirm the former and the latter ST, and the goal is to optimize the secondary transmission performance and the primary security performance, respectively. For the non-security model and the proposed protocol, we derive the closed-form expressions of the intercept probability and the outage probability for the PU. We also obtain the closed-form expression of outage probability for the secondary user. The numerical results show that the security performance of the PU is significantly enhanced in our protocol compared to the non-security model. In addition, the outage performance of the secondary users is also improved in high secondary transmit SNR region.