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Iranian Conference on Electrical Engineering

Resource allocation for maximizing secrecy rate in presence of active eavesdropper

Mohammad Reza Javan, Nader Mokari

Published May 1, 2014• 6 citations
Publisher

Abstract

In this paper, we consider the problem of power allocation of OFDM user in the presence of an active attacker. The malicious user has the ability of either eavesdropping of ongoing connection or jamming it. However, it can not function as both the eavesdropper and jammer at the same time. The attacker's policy is to choose between eavesdropping and jamming such that the ultimate secrecy rate is minimized. Hence, the legitimate user considers the worst case at which the ultimate secrecy rate is assumed to be the minimum between the achievable rate of each case. Under the total transmit power constraint, the user distribute the transmit power over subcarrier such that the total secrecy rate is maximized. By simulation, we evaluate the efficiency of the proposed scheme.

DOI
10.1109/iraniancee.2014.6999785

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In this paper, we consider the problem of power allocation of OFDM user in the presence of an active attacker. The malicious user has the ability of either eavesdropping of ongoing connection or jamming it. However, it can not function as both the eavesdropper and jammer at the same time. The attacker's policy is to choose between eavesdropping and jamming such that the ultimate secrecy rate is minimized. Hence, the legitimate user considers the worst case at which the ultimate secrecy rate is assumed to be the minimum between the achievable rate of each case. Under the total transmit power constraint, the user distribute the transmit power over subcarrier such that the total secrecy rate is maximized. By simulation, we evaluate the efficiency of the proposed scheme.
In this paper, the problem of resource allocation for OFDM user to guarantee secure communication is considered. There exists an active eavesdropper which is able to either eavesdrop or jam the ongoing information transmission of OFDM user but not both at the same time. The OFDM user aim is to minimize its transmit power over all subcarriers while maintaining its secrecy rate above a predefined threshold. We assume that attacker chooses between jamming and eavesdropping based on the achievable rate of user in each case to minimize the secrecy rate of legitimate user. In addition, we assume that the OFDM user knows the policy of the attacker, and hence it considers the worst case in which the secrecy rate is the minimum between the secrecy rate when attacker jams and when attacker eavesdrops. We evaluate our proposed scheme by simulations and show its effectiveness.
We propose a robust resource allocation framework to improve the physical layer security in the presence of an active eavesdropper. In the considered system, we assume that both legitimate receiver and eavesdropper are full-duplex (FD) while most works in the literature concentrate on passive eavesdroppers and half-duplex (HD) legitimate receivers. In this paper, the adversary intends to optimize its transmit and jamming signal parameters so as to minimize the secrecy data rate of the legitimate transmission. In the literature, assuming that the receiver operates in HD mode, secrecy data rate maximization problems subject to the power transmission constraint have been considered in which cooperating nodes act as jammers to confound the eavesdropper. This paper investigates an alternative solution in which we take advantage of FD capability of the receiver to send jamming signals against the eavesdroppers. The proposed self-protection scheme eliminates the need for external helpers. Moreover, we consider the channel state information uncertainty on the links between the active eavesdropper and other legitimate nodes of the network. Optimal power allocation is then obtained based on the worst-case secrecy data rate maximization, under a legitimate transmitter power constraint in the presence of the active eavesdropper. Numerical results confirm the advantage of the proposed secrecy design and in certain conditions, demonstrate substantial performance gain over the conventional approaches.
We propose a robust resource allocation framework to provide physical layer security for a multiple input single output (MISO) communication system. In the considered system, we assume that the both legitimate receiver and eavesdropper are in full-duplex (FD) mode and compare the corresponding performance to conventional cooperative jamming frameworks where a half-duplex (HD) receiver is at hand. In the present paper, the adversary intends to optimize its transmit and jamming signal parameters so as to minimize the MISO secrecy rate between the legitimate transmitter and receivers. The proposed self-protection scheme eliminates the need for external helpers and provides system robustness. Moreover, we investigate robustness against channel state information uncertainty. Optimal power allocation is obtained based on worst-case secrecy rate maximization, under legitimate transmitter power constraint in the presence of an active eavesdropper. Numerical results are then provided to confirm the advantages of using FD receivers.
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.
In this paper, the resource allocation for multiuser wiretap Orthogonal Frequency-Division Multiplexing(OFDM) systems is investigated to improve the system power efficiency. In such a multiuser wiretap OFDM system, one legitimate transmitter (Alice), multiple legitimate receivers (Bobs), and one eavesdropper (Eve) are simultaneously considered. The time-domain artificial noise (AN) is firstly involved to guarantee the target secrecy rates of multiple Bobs. Different from the traditional sum secrecy rate maximization problem which may result in the unfair transition for Bobs with bad channel gains and more transmit power consumptions, a non-convex transmit power minimization problem is formulated to jointly optimize the power, subcarrier allocation and AN design, in which a target secrecy rate for each individual Bob is ensured. An iterative algorithm is further proposed to solve this power minimization problem by updating the subcarrier, power allocation and AN design alternatively. Numerical simulation results demonstrate the effectiveness of the proposal, including the improvements of system power efficiency and the fairness of multiple Bobs.
In this paper, we consider a secrecy wireless powered communication network, where an information source (IS) transmits message to a legitimate information receiver (IR) with the energy it harvests from the energy source (ES) and a full-duplex (FD) active eavesdropper (AE) performs eavesdropping and jamming simultaneously with the energy it harvests from the ES. With a goal to maximize the achievable secrecy rate, we jointly optimize the energy beamforming and the artificial noise (AN) beamforming at the ES, the information beamforming at the IS and the energy transfer time at the ES. Numerical results are given to show the superiority of our proposed scheme.