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International Conference on Advanced Technologies for Communications

Cognitive radio network secure communication with and without cooperative jammer

Weiheng Jiang, Wenjiang Feng

Published Oct 1, 2014• 1 citation
Publisher

Abstract

This paper investigates optimal power allocation strategies over a bank of idle independent parallel Gaussian wiretap channels where a cognitive-based transmitter and a cognitive-based receiver communicate in the presence of an eavesdropper and a friendly jammer. We initially focus on the scenario where the cognitive transceiver's confidential message is transmitted without the assistance of a cooperative jammer (CJ) and characterize the secrecy rate maximization power allocation strategy, which indicates that only part of the sensing idle subchannels are utilized. This is a case of inefficiency in spectrum usage for cognitive radio network whose resource comes from spectrum sensing. Thus, we then extend our scenario by introducing a CJ and investigate whether we can further improve the system secrecy rate as that in non-cognitive network. In which, we focus on the joint transmitter and jammer power control and propose a suboptimal algorithm to demonstrate the benefits of introducing a CJ in our scenario.

DOI
10.1109/atc.2014.7043463

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•Oct 1, 2014•7 citations
This paper investigates optimal power allocation strategies over a bank of idle independent parallel Gaussian wiretap channels where a cognitive-based transmitter and a cognitive-based receiver communicate in the presence of an eavesdropper and a friendly jammer. We initially focus on the scenario where the cognitive transceiver's confidential message is transmitted without the assistance of a cooperative jammer (CJ) and characterize the secrecy rate maximization power allocation strategy, which indicates that only part of the sensing idle subchannels are utilized. This is a case of inefficiency in spectrum usage for cognitive radio network whose resource comes from spectrum sensing. Thus, we then extend our scenario by introducing a CJ and investigate whether we can further improve the system secrecy rate as that in non-cognitive network. In which, we focus on the joint transmitter and jammer power control and propose a suboptimal algorithm to demonstrate the benefits of introducing a CJ in our scenario.
We consider single-user OFDM wiretap channel with an external cooperative jammer (CJ), where the CJ helps the destination to interfere the eavesdropper. The achievable secrecy rate is derived. The source power and CJ power are optimized over all sub-carriers to maximize the sum secrecy rate under a total system power constraint. The simulation results indicate that the secrecy rate with optimal resource allocation is higher than that of the network without a CJ. It indicates that the network with an external CJ using optimal resource allocation improves the security performance greatly.
This paper investigates power allocation strategies over a bank of independent parallel Gaussian wiretap channels where a legitimate transmitter and a legitimate receiver communicate in the presence of an eavesdropper and a friendly jammer. We give algorithms to compute the optimal power allocation strategy of the jammer in the degraded scenario. We also give an algorithm to compute power allocations strategies of the jammer in a general scenario, leading to significant performance gains in relation to isotropic jamming. Additionally, we provide a set of results that cast further insight into the problem. In our scenario, which is applicable to current OFDM communications systems, we demonstrate that the proposed jammer power allocation strategy can lead to considerable secrecy gains.
This paper investigates optimal power allocation strategies over a bank of independent parallel Gaussian wiretap channels where a legitimate transmitter and a legitimate receiver communicate in the presence of an eavesdropper and an unfriendly jammer. In particular, we formulate a zero-sum power allocation game between the transmitter and the jammer where the payoff function is the secrecy rate. We characterize the optimal power allocation strategies as well as the Nash equilibrium in some asymptotic regimes. We also provide a set of results that cast further insight into the problem. Our scenario, which is applicable to current OFDM communications systems, demonstrates that transmitters that adapt to jammer experience much higher secrecy rates than non-adaptive transmitters.
We investigate physical layer security in wireless communication networks, where a transmitter Alice sends a confidential message to an intended user Bob, while coexisting with a normal transmitter DT, a normal receiver DR, and a passive eavesdropper Eve. Compared with the conventional cooperative jamming (CJ) scheme, DT has dual responsibilities. One is to broadcast public information to its service subscriber DR, and the other is to confound the unauthorized eavesdropper Eve to ensure desired secure communication. Considering the secrecy outage restriction of Bob and the quality of service demand of DR, we propose an optimal resource management strategy. Users with different security requirements take hierarchical secure measures. For example, banking transaction needs to adopt high strength security measures, and personal voice communication resorts to low-level security protection strategies. Numerical simulations show that the proposed secure design outperforms the CJ scheme in terms of effective service rate and effective energy efficiency with a little secrecy rate loss, which is suitable for the low-level security real-time communication.
We consider the problem of secret communication through cognitive relay assisted interference channels in which secondary user (SU) is allowed to transmit simultaneously with the primary user (PU) over the same channel instead of waiting for an idle channel which is traditional for a cognitive radio. We propose two cooperative jamming (CJ) schemes to improve the secrecy rate of cognitive interference channels, where the multiple antenna cognitive relay transmit weighted jamming signals to create additional interferences in the direction of eavesdropper with the purpose of confusing it. !n the first CJ scheme, transmitter has the knowledge of all the channel state information (CSI) including eavesdropper channel while in the second CJ scheme transmitter has no CSI of the eavesdropper channel. The proposed CJ schemes are designed to cancel out jamming interference at both the primary receiver (PR) and the secondary receiver (SR) maintaining interference at the PR under a certain threshold. CJ with full CSI enhances secrecy rate by employing zero forcing (ZF) precoding while CJ with partial CSI also combining with ZF precoding improves the secrecy rate by degrading the signal-to-interference plus noise ratio (SINR) at the eavesdropper. Our results show that a combined approach of ZF precoding with CJ scheme is more significant in improving secrecy rate of cognitive interference channels for both full CSI and partial CSI scenarios.
The broadcast nature of wireless communication makes it vulnerable to Eavesdropping. To enhance the communication security, cooperative jamming (CJ) is applied and studied in many previous works. However, jamming signal may also decrease the signal-to noise ratio (SNR) of legal receivers, and degrade the overall performance of networks. Therefore, the jammer power must be reasonably controlled. In this paper, the jamming power control over two-user Gaussian interference wiretap channel is investigated. We aim to establish the optimal scheme for each communication pair with game theory. To maximize secrecy rate with minimal jamming power, we first derive the pure and mixed strategies Nash Equilibrium (NE) in non-cooperative game frame. Then given the overall utility and fairness, we establish a cooperative game. In cooperative game frame, time-sharing mechanism is used. In both frames, we derive best equilibrium strategy for each transmitter. Numerical results demonstrate that the system utility is really improved with jamming power control based on game theory.