Secrecy Diversity Analysis is to improve Physical Layer Security (PLS) in Wireless Sensor Networks (WSNs). Wireless Sensor Networks (WSNs) are more susceptible to security risks owing to the broadcast characteristics of wireless communication, necessitating the protection of sensitive data. The research examines the application of diversity strategies to enhance secrecy performance in wireless communication networks. Utilizing variety, including antenna diversity and channel diversity, the system can bolster resilience against eavesdroppers and augment the overall secrecy capacity. Employing MATLAB alongside Simulink as the simulation instrument, multiple secrecy performance measures are assessed, including secrecy capacity and secrecy outage probability. The simulation results indicate that the incorporation of diversity approaches at the physical layer markedly enhances the security of wireless sensor networks, diminishing the probability of eavesdropping and augmenting system resiliency. This research emphasizes the significance of integrating PLS with diversity approaches to improve security in resource-limited wireless systems such as WSNs.
Secrecy Diversity Analysis is to improve Physical Layer Security (PLS) in Wireless Sensor Networks (WSNs). Wireless Sensor Networks (WSNs) are more susceptible to security risks owing to the broadcast characteristics of wireless communication, necessitating the protection of sensitive data. The research examines the application of diversity strategies to enhance secrecy performance in wireless communication networks. Utilizing variety, including antenna diversity and channel diversity, the system can bolster resilience against eavesdroppers and augment the overall secrecy capacity. Employing MATLAB alongside Simulink as the simulation instrument, multiple secrecy performance measures are assessed, including secrecy capacity and secrecy outage probability. The simulation results indicate that the incorporation of diversity approaches at the physical layer markedly enhances the security of wireless sensor networks, diminishing the probability of eavesdropping and augmenting system resiliency. This research emphasizes the significance of integrating PLS with diversity approaches to improve security in resource-limited wireless systems such as WSNs.
Growing need for secure wireless communication in networks like Internet of Things (IoT), 5G, and future 6G has raised concerns about efficient ways to ensure security. Cryptography techniques are considered to be efficient from the standpoint of providing security; however, they are also limited in computational complexity, energy consumption, and key management. In order to overcome the above-mentioned issue, it is possible to employ Physical Layer Security (PLS). Using unique characteristics of wireless communication channel, it is possible to enhance the confidentiality of the process. The current research paper analyzes the PLS approach for investigation of partial secrecy in case wireless channel operates under such fading distributions as Rayleigh, Rician, and Nakagami-m. The diversity-based approach for enhancing physical layer security is employed through use of such diversity types as Selection Combining (SC), Maximal Ratio Combining (MRC), and Cooperative Diversity. Analysis of performance of such a system is performed with the help of MATLAB simulations using the following parameters: Secrecy Capacity, Generalized Secrecy Outage Probability (GSOP), Average Information Leakage Rate (AILR), Average Fractional Equivocation (AFE), and Secrecy Throughput. The results of simulations demonstrate the advantage of diversity approach with respect to ensuring secure wireless communications at different SNR values. Among all kinds of diversity, MRC performs better than others due to its efficient signal combining capability.
Wireless sensor networks are specialized networks, geographically dispersed monitors that keep track of environmental external factors and conduct the collected information to a centralized opinion. The rapid growth of wireless sensor networks and its connected have pushed the saturation level of the communication. Moreover, the information passed is prone to the attacks and hence researchers have considered these as crucial factors in wireless sensor networks. Physical layer security is the one of the main approaches to ensure the secrecy of wireless sensor networks and has been attained with several encryption and signal processing approach. In our approach we propose a novel Projection Pursuit Gaussian Process regression (PPGPR) technique to analyze the diverse secrecy of physical layer in wireless sensor networks. The proposed approach is utilized to safeguard the sensitive data with secured physical layer. Simulations are performed and made an analogous study with state-of-art works to ensure the secrecy of the proposed work. The proposed work can use for the secured wireless communication with higher secrecy capacity than the existing approaches. The performance is analyzed with the parameters such as secrecy capacity, secrecy outage probability, packet delivery ratio, secrecy throughput, and energy consumption.
In smart cities, the ubiquitous network connections and high data rate services are provided to afford effective service of real-time monitoring and responses. With the development of the 5G mobile communication technology, the wireless sensor mobile communication networks in the smart city have become a hot issue for academic researches. Due to the openness of wireless channels, the physical layer security of the wireless mobile sensor mobile communication networks in smart city encounters severe challenges. In this paper, based on Wyner's wiretap model, the secrecy performance of the wireless mobile sensor communication networks over 2-Nakagami fading channels is investigated. We derive the exact secure outage probability (SOP) and the probability of strictly positive secrecy capacity expressions for two transmit antenna selection (TAS) schemes. The exact closed-form expressions for the lower bound on the SOP are also derived using the optimal TAS scheme. Then, the system secrecy performance is verified and analyzed by Monte Carlo simulations under different conditions. The simulation results show that the analytical results match perfectly with the Monte Carlo simulation results. Increasing the number of transmit antennas can improve secrecy performance.
The wireless sensor network (WSN) plays a fundamentally important role in the realization of Internet of Things and Industry 4.0. In this article, we study the physical layer security performance of a large-scale ad hoc and homogeneous WSN. To accurately evaluate the secrecy performance of the large-scale WSN, we take into account the randomness of the interfering nodes (both in terms of the number of nodes and their respective position) based on Poisson point process in our analysis. We derive novel expressions for the average secrecy capacity and secrecy outage probability, including the effects of fading, path loss, and the network's spatial randomness. The results demonstrate the impacts of several factors such as node intensity and transmission power in large-scale WSN on secrecy performance, which should be seriously taken into consideration while designing WSNs.
Physical Layer Security (PLS) provides a promising complementary approach to cryptographic methods for protecting wireless communications from eavesdropping. This paper investigates secrecy enhancement through cooperative relaying and jamming in a wireless network with two legitimate users, one eavesdropper, and five potential relay nodes operating in amplify-and-forward mode. Three relay–jammer selection strategies are considered: random relay and jammer selection, best-SNR (signal-to-noise ratio) relay with random jammer selection, and best-SNR relay with a jammer chosen based on the strongest channel toward the eavesdropper. The secrecy performance of these strategies are evaluated in terms of secrecy rate and secrecy outage probability. The results demonstrate that intelligent relay and jammer selection can significantly improve PLS compared to random selection, highlighting the benefits of cooperation in secure wireless systems.
Security is one of the most important issues in wireless communication.Because using wireless channels entails broadcasting data transmissions, malicious nodes can eavesdrop on wireless transmission, which leads to insecure data transmission.Traditional security methods are based on cryptography.Recently, physical-layer security (PLS) has gained much attention as an efficient method of obtaining secure information without using cryptography.PLS protocols employ the physical characteristics of wireless channels such as channel state information (CSI) and the distances between connection links in order to enhance secrecy performances in wireless systems.To enhance secrecy performances, the dual-hop/multi-hop relay protocols can be used efficiently.However, according to my best knowledge, there are few published works considering the impact of hardware impairments on secrecy performances for the wireless relaying networks.Hence, this dissertation examines the diversity-based relay protocols for wireless communication networks in order to improve secrecy performances in presence of hardware imperfections.First, new dual-hop and multi-hop cooperative relaying schemes with various relay selection methods are proposed in order to obtain improved secrecy performance compared with the existing schemes.Second, new joint relay and jammer selection protocols are also considered in order to improve the channel capacity for data links while reducing the channel capacity of eavesdropping links.Finally, this dissertation proposes harvest-to-transmit and harvest-to-jam protocols, where the relay and jammer nodes harvest energy from the radio frequency signal for use in the data transmission and the jamming process, respectively.To evaluate the performance of the proposed protocols over fading channels, this dissertation focuses on deriving the closed-form expressions for secrecy performances.Then, the derived expressions are verified by Monte Carlo simulations, which also present the advantages of the proposed protocols.