Cooperative-Jamming-Aided Secrecy Enhancement in Wireless Networks With Passive Eavesdroppers

Hu, Lin; Hong, Wen; Wu, Bin; Tang, Jie; Pan, Fei; Liao, Runfa

doi:10.1109/tvt.2017.2744660

Cited by 67 publications

(56 citation statements)

References 21 publications

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“…The redundancy rate R k − R s can be utilized for anti-eavesdropping. According to [5,13,21], in non-colluding Eves scenario, the maximal eavesdropped information is determined by the maximal SNR among all the Eves, thus C e = log 2 (1 + max m∈M ζ e,m ), and the secrecy outage occurs when C e > R e . Therefore, the secrecy outage probability (SOP) of LU1 can be described as [5] P out (R s , a 1 ) = Pr(R s > C s ) (8) = Pr(C e > R e ).…”

Section: System Modelmentioning

confidence: 99%

“…Particularly, notice from (12) that a threshold in terms of a 1 should be provided to meet the desired QoS requirement at LU2. Otherwise, the CJ scheme in [21] is exploited in our considered systems to satisfy secure transmission for LU1.…”

Section: Proposed Solution For Srm Problem Under Certain Sop Constraintmentioning

confidence: 99%

“…With the aid of stochastic theory knowledge, T 1,m ∼ Exp(κ 1,m ), T 2,m ∼ Exp(κ 2,m ), where κ 1,m = 1 P a a 1 , κ 2,m = 1 P a (1−a 1 ) can be easily verified, respectively. According to [5,21,27], due to the fact that the entries of h ce,m follow independent CN (0, 1), the square of each entry's modulus follows exponential distribution with mean 1, hence we have h ce,m V 2 ∼ Γ(N c − 2, 1) [28]. Finally, T 3,m ∼ Γ(N c − 2, κ 3,m ), where κ 3,m = N c −2 P c can be obtained.…”

Section: Solution For Sop Constraintmentioning

confidence: 99%

“…From Equations (13)-(17), a closed form expression of ε m can be achieved by referring to [21], and we omit the detailed calculation here for simplicity. Then, ε m can be re-expressed as…”

Section: Solution For Sop Constraintmentioning

confidence: 99%

“…Then, we transform the objective function in the SRM problem under certain SOP into a strictly concave function through strict mathematical proofs. • Different from the work of [21] in which only one user was served by Alice, in this paper, we investigate cooperative secure transmission in NOMA networks where a source (Alice) intends to transmit confidential messages to one legitimate user with high-level security requirement (LU1), and serve another normal one (LU2) simultaneously. In particular, we consider the upper bound of the power Alice allocates to LU2 to guarantee the QoS constraint at LU2.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Cooperative Secure Transmission in MISO-NOMA Networks

Chen¹,

Zhang²,

Li³

2020

Electronics

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In this paper, we investigate cooperative secure transmission in non-orthogonal multiple access (NOMA) networks where a source (Alice) intends to transmit confidential messages to one legitimate user with high-level security requirement (LU1), and serve another normal one (LU2) simultaneously. In order to enhance the transmission security, a cooperative jammer (Charlie) is employed to confuse multiple non-colluding eavesdroppers (Eves). Taking both secrecy outage restriction of LU1 and the desired quality of service (QoS) requirement of LU2 into consideration, we propose an adaptive power allocation strategy for maximizing secrecy rate. Numerical results are provided to validate that our proposed scheme significantly outperforms the conventional NOMA secure transmission scheme.

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Section: System Modelmentioning

confidence: 99%

Section: Proposed Solution For Srm Problem Under Certain Sop Constraintmentioning

confidence: 99%

Section: Solution For Sop Constraintmentioning

confidence: 99%

Section: Solution For Sop Constraintmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cooperative Secure Transmission in MISO-NOMA Networks

Chen¹,

Zhang²,

Li³

2020

Electronics

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Enhancing physical layer security via a UAV friendly jammer for NOMA‐based IoT systems with imperfect CSI

Chen

Zhang

2021

Trans Emerging Tel Tech

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In this article, we investigate physical layer security in downlink Internet of Things networks under imperfect channel state information (CSI), in which a controller (Alice) intends to serve two user devices (D 1 and D 2) simultaneously by using nonorthogonal multiple access (NOMA). Cooperative jamming (CJ) is introduced as a powerful solution for guaranteeing secure transmission. To be specific, we integrate an unmanned aerial vehicle (UAV) jammer that generates artificial noise to confuse multiple noncolluding eavesdroppers (Eves). Considering only D 1 requires secure transmission, we develop an adaptive power allocation scheme to maximize the secrecy rate at D 1 while meeting the desired quality of service (QoS) threshold at D 2. Furthermore, a strategy can be utilized to obtain the optimal location of the UAV jammer is derived for further performance enhancement. Besides, we also examine the impact of the channel uncertainties on system performance. Numerical results are provided to confirm the superiority and applicability of the proposed CJ scheme over benchmark schemes in terms of secrecy performance and effective energy efficiency.

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A Cooperative Jamming Game in Wireless Networks Under Uncertainty

Baykal‐Gürsoy

2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Considered is a multi-channel wireless network for secret communication that uses the signal-to-interference-plus-noise ratio (SINR) as the performance measure. An eavesdropper can intercept encoded messages through a degraded channel of each legitimate transmitterreceiver communication pair. A friendly interferer, on the other hand, may send cooperative jamming signals to enhance the secrecy performance of the whole network. Besides, the state information of the eavesdropping channel may not be known completely. The transmitters and the friendly interferer have to cooperatively decide on the optimal jamming power allocation strategy that balances the secrecy performance with the cost of employing intentional interference, while an eavesdropper tries to maximize her eavesdropping capacity. To solve this problem, we propose and analyze a non-zero sum game between the network defenders and an eavesdropper who can only attack a limited number of channels. We show that the Nash equilibrium strategies for the players are of threshold type. We present an algorithm to find the equilibrium strategy pair. Numerical examples demonstrate the equilibrium and contrast it to a baseline strategy.

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Cooperative-Jamming-Aided Secrecy Enhancement in Wireless Networks With Passive Eavesdroppers

Cited by 67 publications

References 21 publications

Cooperative Secure Transmission in MISO-NOMA Networks

Cooperative Secure Transmission in MISO-NOMA Networks

Enhancing physical layer security via a UAV friendly jammer for NOMA‐based IoT systems with imperfect CSI

A Cooperative Jamming Game in Wireless Networks Under Uncertainty

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