Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

International Symposium on Information and Communication Technology

Achieving Zero Secrecy Outage in Overlay Cognitive Radio Network

Nga B. T. Nguyen, Hien Quang Ta, Khuong Ho‐Van

Published Dec 6, 2023• 1 citation
Publisher

Abstract

A simple scheme to guarantee zero secrecy outage in an overlay cognitive radio network is proposed with the aid of Artificial Noise (AN). The secrecy outage probability and the condition on the secrecy rates to achieve zero secrecy outage will be determined. Our scheme shows that the transmission between the transceivers will be secured toward the eavesdropper with zero outages. This means that the message can always be secured by a simple strategy of transmission with the aid of AN. The optimum power allocation to information obtained to achieve the maximum zero-outage secrecy throughput will be highlighted. Importantly, the resulting maximum secrecy throughput increases with increasing transmit power, which overcomes the limit of traditional secret transmissions.

DOI
10.1145/3628797.3628835

Related papers

Achieving zero secrecy outage in amplify-and-forward relaying systems

Huynh Huy Cuong, Nguyễn Mạnh Hùng, Nguyen Thi Ngoc Thuy +1 more

A proposed artificial noise (AN) injection strategy is considered in amplify-and-forward (AF) relaying systems. The limit of secrecy rate, hence the resulting zero-outage secrecy throughput, is determined subject to guarantee zero secrecy outage toward any powerful eavesdropper. The results show that the proposed simple strategy can achieve zero secrecy outage, which cannot be achieved in literature, and that it is easy to apply in wireless networks. The results also show an important finding: increasing throughput against increasing transmit power in secrecy.

Journal of Military Science and Technology•Apr 1, 2024•0 citations

Secure transmission in the random cognitive radio networks with secrecy guard zone and artificial noise

Yueming Cai, Xiaoming Xu, Weiwei Yang

The authors study the secure transmission design in random cognitive radio networks where the primary users, the secondary users and the eavesdroppers are randomly distributed according to Poisson point processes. Centring on this scenario, the authors propose a simple and decentralised secure transmission scheme by jointly incorporating the secrecy guard zone and artificial noise. In particular, this transmission scheme helps to enhance secrecy performance via differentiating between secondary transmitters in accordance with the eavesdropping environment. They then analyse the connection outage and secrecy outage performance of the secondary network, based on which they obtain the closed‐form expression of the secrecy throughput. They further determine the optimal transmission power of the secondary transmitters and the optimal power allocation between the information‐bearing signal and artificial noise to maximise the secrecy throughput of the secondary network under primary and secondary outage constraints. The authors’ analysis highlights that introducing secrecy guard zone provides better security performance, and artificial noise performs as additional interference to insert a control between the reliability and security. Numerical results show how the system parameters affect the achievable maximum secrecy throughput, the optimal transmission power and the optimal power allocation between the information‐bearing signal and the artificial noise.

IET Communications•Jun 28, 2016•20 citations

Secrecy rate maximization for cooperative overlay cognitive radio networks with artificial noise

Yuanyuan He, Jamie Evans, Subhrakanti Dey

We consider physical-layer security in a novel MISO cooperative overlay cognitive radio network (CRN) with a single eavesdropper. We aim to design an artificial noise (AN) aided secondary transmit strategy to maximize the joint achievable secrecy rate of both primary and secondary links, subject to a global secondary transmit power constraint and guaranteeing any transmission of secondary should at least not degrade the receive quality of primary network, under the assumption that global CSI is available. The resulting optimization problem is challenging to solve due to its non-convexity in general. A computationally efficient approximation methodology is proposed based on the semidefinite relaxation (SDR) technique and followed by a two-step alternating optimization algorithm for obtaining a local optimum for the corresponding SDR problem. This optimization algorithm consists of a one-dimensional line search and a non-convex optimization problem, which, however, through a novel reformulation, can be approximated as a convex semidefinite program (SDP). Analysis on the extension to multiple eavesdroppers scenario is also provided. Simulation results show that the proposed AN-aided joint secrecy rate maximization design (JSRMD) can significantly boost the secrecy performance over JSRMD without AN.

International Conference on Communications•Jun 1, 2014•29 citations

Secure transmission via jamming in cognitive radio networks with possion spatially distributed eavesdroppers

Xiang Hu, Xi Zhang, Haozhou Huang +1 more

This paper studies the physical layer security (PLS) in an underlay cognitive radio (CR) network. Under an interference constraint set by the primary user, we propose a secure transmission scheme from a secondary source to a secondary 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 secondary source is allowed to use part of its power to transmit jamming signals in order to interfere the eavesdroppers. Assuming that the secondary destination has the knowledge of the jamming signals, we derive the closed-form expression for the connection outage probability and an easy-to-compute expression for the secrecy outage probability to characterize the reliability and the security performance, respectively. Moreover, 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.

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)•Sep 1, 2016•17 citations

Zero-Outage Secrecy in Short Packet IoT-Aided Cellular Cooperative Network With EH-NOMA

Hien Quang Ta, Nga B. T. Nguyen, Tien‐Tung Nguyen +1 more

The zero-outage secrecy with energy harvesting is considered in short packet IoT-aided cellular cooperative networks using the inspired non-orthogonal multiple access (NOMA) strategy. The scheme ensures zero-outage secrecy through two cooperative transmissions: one for only artificial noise (AN) and another for both the artificial noise and the secure message. To ensure that only legitimate users can decode the message while the eavesdropper’s probability of success remains zero, which is so-called zero-outage secrecy, the scheme additionally employs the reverse training strategy to prevent the channel state information leakage to the eavesdroppers. The results show that the proposed scheme can achieve zero-outage secrecy for both IoT and cellular messages even in the case the eavesdroppers take advantage in their location or large number of antennas so that their channels become powerful. When forwarding the secure cellular message, the master IoT node imposes the IoT message using such a large amount of harvested power that the IoT user can achieve the highest zero-outage secrecy throughput and energy efficiency, there is not much loss in the zero-outage secrecy throughput obtained at the cellular user. It also highlights that when the transmit power increases, the zero-outage secrecy throughput also increases, indicating the practical implementation of the proposed scheme.

IEEE Access•Jan 1, 2025•3 citations

Artificial noise scheme to ensure secure communications in CWSN

Álvaro Araújo, Javier Blesa, Elena Romero +1 more

This paper presents an artificial noise strategy to increase physical-layer security in Cognitive Wireless Sensor Networks (CWSN). Spectrum sensing, information sharing and collaborative cognitive features are used to avoid eavesdropping attacks. Artificial noise generation is proposed to conceal the secret message to be transmitted. One important design parameter, the ratio of power allocated to the information bearing signal versus the artificial noise Φ is defined. A simulation framework has been used to simulate different scenarios. The simulations results show that there is a near-optimal Φ value, from 0.8 until 0.96 depending on the number of collaborator nodes, increasing with the number of relay nodes in the network. Also, the simulations show that the more nodes used for the collaboration strategy the less noise per signal is needed for the same Secrecy Outage Probability. As a result, the artificial noise strategy is seen to be highly effective for increasing the secrecy in CWSN.

International Wireless Communications and Mobile Computing Conference (IWCMC)•Aug 1, 2012•8 citations
A simple scheme to guarantee zero secrecy outage in an overlay cognitive radio network is proposed with the aid of Artificial Noise (AN). The secrecy outage probability and the condition on the secrecy rates to achieve zero secrecy outage will be determined. Our scheme shows that the transmission between the transceivers will be secured toward the eavesdropper with zero outages. This means that the message can always be secured by a simple strategy of transmission with the aid of AN. The optimum power allocation to information obtained to achieve the maximum zero-outage secrecy throughput will be highlighted. Importantly, the resulting maximum secrecy throughput increases with increasing transmit power, which overcomes the limit of traditional secret transmissions.
A proposed artificial noise (AN) injection strategy is considered in amplify-and-forward (AF) relaying systems. The limit of secrecy rate, hence the resulting zero-outage secrecy throughput, is determined subject to guarantee zero secrecy outage toward any powerful eavesdropper. The results show that the proposed simple strategy can achieve zero secrecy outage, which cannot be achieved in literature, and that it is easy to apply in wireless networks. The results also show an important finding: increasing throughput against increasing transmit power in secrecy.
The authors study the secure transmission design in random cognitive radio networks where the primary users, the secondary users and the eavesdroppers are randomly distributed according to Poisson point processes. Centring on this scenario, the authors propose a simple and decentralised secure transmission scheme by jointly incorporating the secrecy guard zone and artificial noise. In particular, this transmission scheme helps to enhance secrecy performance via differentiating between secondary transmitters in accordance with the eavesdropping environment. They then analyse the connection outage and secrecy outage performance of the secondary network, based on which they obtain the closed‐form expression of the secrecy throughput. They further determine the optimal transmission power of the secondary transmitters and the optimal power allocation between the information‐bearing signal and artificial noise to maximise the secrecy throughput of the secondary network under primary and secondary outage constraints. The authors’ analysis highlights that introducing secrecy guard zone provides better security performance, and artificial noise performs as additional interference to insert a control between the reliability and security. Numerical results show how the system parameters affect the achievable maximum secrecy throughput, the optimal transmission power and the optimal power allocation between the information‐bearing signal and the artificial noise.
We consider physical-layer security in a novel MISO cooperative overlay cognitive radio network (CRN) with a single eavesdropper. We aim to design an artificial noise (AN) aided secondary transmit strategy to maximize the joint achievable secrecy rate of both primary and secondary links, subject to a global secondary transmit power constraint and guaranteeing any transmission of secondary should at least not degrade the receive quality of primary network, under the assumption that global CSI is available. The resulting optimization problem is challenging to solve due to its non-convexity in general. A computationally efficient approximation methodology is proposed based on the semidefinite relaxation (SDR) technique and followed by a two-step alternating optimization algorithm for obtaining a local optimum for the corresponding SDR problem. This optimization algorithm consists of a one-dimensional line search and a non-convex optimization problem, which, however, through a novel reformulation, can be approximated as a convex semidefinite program (SDP). Analysis on the extension to multiple eavesdroppers scenario is also provided. Simulation results show that the proposed AN-aided joint secrecy rate maximization design (JSRMD) can significantly boost the secrecy performance over JSRMD without AN.
This paper studies the physical layer security (PLS) in an underlay cognitive radio (CR) network. Under an interference constraint set by the primary user, we propose a secure transmission scheme from a secondary source to a secondary 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 secondary source is allowed to use part of its power to transmit jamming signals in order to interfere the eavesdroppers. Assuming that the secondary destination has the knowledge of the jamming signals, we derive the closed-form expression for the connection outage probability and an easy-to-compute expression for the secrecy outage probability to characterize the reliability and the security performance, respectively. Moreover, 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.
The zero-outage secrecy with energy harvesting is considered in short packet IoT-aided cellular cooperative networks using the inspired non-orthogonal multiple access (NOMA) strategy. The scheme ensures zero-outage secrecy through two cooperative transmissions: one for only artificial noise (AN) and another for both the artificial noise and the secure message. To ensure that only legitimate users can decode the message while the eavesdropper’s probability of success remains zero, which is so-called zero-outage secrecy, the scheme additionally employs the reverse training strategy to prevent the channel state information leakage to the eavesdroppers. The results show that the proposed scheme can achieve zero-outage secrecy for both IoT and cellular messages even in the case the eavesdroppers take advantage in their location or large number of antennas so that their channels become powerful. When forwarding the secure cellular message, the master IoT node imposes the IoT message using such a large amount of harvested power that the IoT user can achieve the highest zero-outage secrecy throughput and energy efficiency, there is not much loss in the zero-outage secrecy throughput obtained at the cellular user. It also highlights that when the transmit power increases, the zero-outage secrecy throughput also increases, indicating the practical implementation of the proposed scheme.
This paper presents an artificial noise strategy to increase physical-layer security in Cognitive Wireless Sensor Networks (CWSN). Spectrum sensing, information sharing and collaborative cognitive features are used to avoid eavesdropping attacks. Artificial noise generation is proposed to conceal the secret message to be transmitted. One important design parameter, the ratio of power allocated to the information bearing signal versus the artificial noise Φ is defined. A simulation framework has been used to simulate different scenarios. The simulations results show that there is a near-optimal Φ value, from 0.8 until 0.96 depending on the number of collaborator nodes, increasing with the number of relay nodes in the network. Also, the simulations show that the more nodes used for the collaboration strategy the less noise per signal is needed for the same Secrecy Outage Probability. As a result, the artificial noise strategy is seen to be highly effective for increasing the secrecy in CWSN.