In this paper, we analyze a network consisting of a single source, legitimate destination and an eavesdropper in the presence of multiple helping nodes acting as friendly jammer to support secure communication. We propose a practical jamming method for uncoordinated cooperative jamming (UCJ) with less system overhead. Jammers are selected to secure the communication in an energy efficient way. We model the spatial distribution of jammers as a Poisson point process (PPP). Jammers are selected according to the source to destination channel quality within a finite region surrounding the source. The secrecy transmission rate of the network is evaluated from coverage probability and secrecy probability. The secure energy efficiency (SEE) of the system is analyzed by considering a more realistic power consumption model with the transmit power of various nodes as well as their circuit consumption power.
In this paper, we analyze a network consisting of a single source, legitimate destination and an eavesdropper in the presence of multiple helping nodes acting as friendly jammer to support secure communication. We propose a practical jamming method for uncoordinated cooperative jamming (UCJ) with less system overhead. Jammers are selected to secure the communication in an energy efficient way. We model the spatial distribution of jammers as a Poisson point process (PPP). Jammers are selected according to the source to destination channel quality within a finite region surrounding the source. The secrecy transmission rate of the network is evaluated from coverage probability and secrecy probability. The secure energy efficiency (SEE) of the system is analyzed by considering a more realistic power consumption model with the transmit power of various nodes as well as their circuit consumption power.
This paper studies a single-input multi-output multi-eavesdropper (SIMOME) wiretap channel with multiple friendly single-antenna jammers. We consider random networks where the jammers and the eavesdroppers are distributed according to independent two-dimensional homogeneous Poisson point processes (PPP). We propose an opportunistic jammer selection scheme for the physical layer security enhancement, where the jammers whose channels are nearly orthogonal to the channel direction information (CDI) of the legitimate channel are selected to transmit independent and identically distributed (i.i.d.) Gaussian jamming signals to confound the eavesdroppers. The proposed scheme does not require a centralized design and signal coordinations among multiple jammers are not needed anymore. Furthermore, we analyze both the achievable secrecy throughput and the ergodic secrecy rate of the proposed jammer selection scheme. Based on the analysis results, we optimize the selection threshold for the secrecy throughput maximization and ergodic secrecy rate maximization. Simulation results show that the proposed jammer selection scheme can achieve a substantial performance gain.
This paper studies the secrecy communication of the single-input-single-output multieavesdropper (SISOME) channel with multiple single-antenna jammers, where the jammers and the eavesdroppers are distributed according to the independent 2-D homogeneous Poisson point process (PPP). For enhancing the physical layer security, we propose an opportunistic multiple-jammer selection scheme, where the jammers whose channel gains to the legitimate receiver are less than a threshold are selected to transmit independent and identically distributed (i.i.d.) Gaussian jamming signals to confound the eavesdroppers. We characterize the secrecy throughput achieved by our proposed jammer selection scheme and show that the secrecy throughput is a quasi-concave function of the selection threshold.
In this letter, we consider a cooperative wireless network consisting of a source, multiple intermediate energy harvesting nodes, and a destination, in the presence of a passive eavesdropper. First, the intermediate nodes use the time switching-based relaying protocol to harvest energy from the source signal. Then, a pair out of intermediate nodes are selected as a relay and a jammer to transmit confidential and jamming signals to the destination and eavesdropper. Under these assumptions, we evaluate the system performance in terms of secrecy outage probability.
In this paper, we investigate wireless networks consisting of a legitimate transmitter (Alice), a legitimate receiver (Bob), eavesdroppers (Eves), and friendly jammers. Two network scenarios are considered depending on whether Alice and the jammers have the ability to detect the existence of Eves in their vicinity. If they do not have the ability, as a means to enhance the secrecy, Alice transmits artificial noise and each jammer selectively radiates a jamming signal based on the channel gain between the jammer and Bob. On the other hand, when they have the ability, Alice sends a confidential message to Bob if no Eve is detected within its guard zone, and the jammers transmit jamming signals when there exists at least one Eve in their vicinity. We model the spatial distributions of Eves and jammers as $\beta $ -Ginibre point processes, which can characterize repulsion among the nodes and include the Poisson point process (PPP) as a special case. Then, we analyze both the probability that Bob successfully decodes the confidential message and the probability that the message is secure against eavesdropping. Also, we show that our analysis is a generalization of previous works on the networks with PPPs by recovering them from our analytical results.
This paper develops a new cooperative jamming protocol, termed accumulate-and-jam (AnJ), to improve physical layer security in wireless communications. Specifically, a full-duplex (FD) friendly jammer is deployed to secure the direct communication between source and destination in the presence of a passive eavesdropper. We consider the friendly jammer as an energy-constrained node without embedded power supply but with an energy harvesting unit and rechargeable energy storage; it can thus harvest energy from the radio frequency signals transmitted by the source, accumulate the energy in its battery, and then use this energy to perform cooperative jamming. In the proposed AnJ protocol, based on the energy status of the jammer and the channel state of source-destination link, the system operates in either dedicated energy harvesting (DEH) or opportunistic energy harvesting (OEH) mode. In DEH mode, the source sends dedicated energy-bearing signals and the jammer performs energy harvesting. In OEH mode, the source transmits an information-bearing signal to the destination. Meanwhile, using the harvested energy, the wireless-powered jammer transmits a jamming signal to confound the eavesdropper. Thanks to the FD capability, the jammer also harvests energy from the information-bearing signal that it overhears from the source. We study the complex energy accumulation and consumption procedure at the jammer by considering a practical finite-capacity energy storage, of which the long-term stationary distribution is characterized through applying a discrete-state Markov Chain. An alternative energy storage with infinite capacity is also studied to serve as an upper bound. We further derive closed-form expressions for two secrecy metrics, i.e., secrecy outage probability and probability of positive secrecy capacity. In addition, the impact of imperfect channel state information on the performance of our proposed protocol is also investigated. Numerical results validate all theoretical analyses and reveal the merits of the proposed AnJ protocol over its half-duplex counterpart.
In this paper, we propose a secure transmission scheme from a source to a 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 source is allowed to use part of its power to transmit jamming signals in order to interfere the eavesdroppers. We assume the destination has the knowledge of the jamming signals. Based on the stochastic geometry and point process theory, we derive the closed-form expressions for the connection outage probability and the secrecy outage probability to characterize the reliability and the security performance, respectively. And 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.