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International Conference on Networking and Network Applications (NaNA)

Exploiting Social Tie and SIR Characteristic for Cooperative Jamming: A Game Model in a Two-layer Network

Yan Hong Gao, Yong Zeng, Zhihong Liu, Jianfeng Ma, Yeqiu Xiao

Published Oct 1, 2018• 4 citations
Publisher

Abstract

Cooperative jamming is a popular technique for physical layer security, which is helpful to increase the secrecy of communication networks. To enhance the performance of cooperative jamming, this paper proposed a two-layer network consisting of a social network and a physical communication network. Each user is in the social network and their willingness of providing jamming is modeled by a susceptible-infective-recovery(SIR) spreading model, while devices of each user and their connection are presented in the physical communication network as the lower layer. The concept of social tie is introduced to the description of connections between two layers, and game theory is used to model processes of cooperative jamming. It is discovered that stronger social tie and SIR model is helpful to decrease secrecy outage probability of communication networks. Furthermore, our proposed two-layer network can raise the efficiency of designing strategies for cooperative jamming. Simulation results also demonstrate the proposed model and algorithms successfully enhance the secrecy performance for communication networks.

DOI
10.1109/nana.2018.8648749

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Cooperative jamming is a popular technique for physical layer security, which is helpful to increase the secrecy of communication networks. To enhance the performance of cooperative jamming, this paper proposed a two-layer network consisting of a social network and a physical communication network. Each user is in the social network and their willingness of providing jamming is modeled by a susceptible-infective-recovery(SIR) spreading model, while devices of each user and their connection are presented in the physical communication network as the lower layer. The concept of social tie is introduced to the description of connections between two layers, and game theory is used to model processes of cooperative jamming. It is discovered that stronger social tie and SIR model is helpful to decrease secrecy outage probability of communication networks. Furthermore, our proposed two-layer network can raise the efficiency of designing strategies for cooperative jamming. Simulation results also demonstrate the proposed model and algorithms successfully enhance the secrecy performance for communication networks.
In this letter, we investigate the cooperative jamming decision problem among multiple jammers for physical layer security. We introduce the social tie concept to model the cooperative jammer's willingness to cooperate. We first formulate the problem as a social tie based cooperative jamming game. We establish the existence of a pure Nash equilibrium (NE) and then devise an algorithm to compute the desired NE which can achieve the minimum secrecy outage probability among all the NEs. Moreover, we derive an upper bound on the gap between the secrecy outage probability achieved at the best NE and the minimum secrecy outage probability achieved with all jammers participating. Numerical results validate our theoretical analysis.
This paper proposes a social-aware cooperative interference strategy for physical layer security, which not only considers the physical characteristics of the devices, but also considers the social relationship among users, and combines the two to increase the confidentiality capacity of the communication network. This paper studies the security issue of a multi-user communication network in the existence of eavesdropper and the source node with the help of cooperative interference node. To be specific, we define a trust value for each node to indicate the social relations and network interactivity between nodes. This paper proposes a two-layer network cooperative interference system model, by constructing the utility function of the main channel and the utility function of the eavesdropping channel, and the goal of maximizing the utility function of the entire network is proposed. The problem can be described as a one-to-one matching game, and the simulation results display that this scheme can obtain a higher confidentiality rate compared with the existing scheme.
This work studies the security enhancement and social relationship model in heterogeneous D2D and cellular network with an adaptive jamming. Different from traditional physical layer securities that optimize secrecy capacity, we investigate strategies based on reduction of compromised secrecy region (CSR). Specifically, we firstly format the outage probability while taking fading channel effects into consideration and we build a novel social relationship model evaluated by social interactions and physical secrecy outage probability. Then three strategies for adaptive jamming are proposed to reduce CSR at various levels of channel states in the presence of joint cellular user and adaptive jammer beam-forming. Finally, numerical approximation and results validate the proposed CSR optimization strategies for joint artificial noise from cellular user and adaptive jammer and our scheme could reduce CSR efficiently.
A wireless communication aided with Cooperative Jamming in order to enhance Physical Layer security is modeled with Game Theory, using Secrecy Capacity as payment function. To completely take in account the inherent randomness of the wireless channel, a Second Order Cone Programming deterministic equivalent is derived from the game resulting probabilistic optimization problem. Results show how upper and lower bounds of the secrecy capacity, associated to the game values, can be used to characterize the system. Suggested mixed strategies are implemented and compared with pure strategies, and it's shown that performance of mixed strategies, in terms of outage probability, lays exactly between the performances of pure strategies.
In this paper, we enhance physical layer security performance of downlink cellular networks through cooperative jamming technology. Assuming the locations of eavesdroppers (Eve) are available, idle user equipments (UE) are carefully selected to cooperatively transmit jamming signal to confuse eavesdroppers (Eve). Analytical expressions of the connection and secrecy performances are derived, which are validated through Monte Carlo simulations. Simulation results demonstrate that our proposed scheme can improve connection performance, while approaches the secrecy performance of [12]. Furthermore, only 6% idle UEs of [12] are used for cooperative jamming, which helps to decrease energy consumption of network.
In this paper, we explore how to enhance the physical layer security performance in downlink cellular networks through cooperative jamming technology. Idle user equipments (UE) are used to cooperatively transmit jamming signal to confuse eavesdroppers (Eve). We propose a threshold-based jammer selection scheme to decide which idle UE should participate in the transmission of jamming signal. Threshold conditions are carefully designed to decrease interference to legitimate channel, while maintain the interference to the Eves. Moreover, fewer UE are activated, which is helpful for saving energy consumptions of cooperative UEs. Analytical expressions of the connection and secrecy performances are derived, which are validated through Monte Carlo simulations. Theoretical and simulation results reveal that our proposed scheme can improve connection performance, while approaches the secrecy performance of [12]. Furthermore, only 43% idle UEs of [12] are used for cooperative jamming, which helps to decrease energy consumption of network.