Intercept Probability Analysis of Cooperative Cognitive Networks Using Fountain Codes and Cooperative Jamming

Duy, Tran Trung; Khan, Le Chu; Bình, Nguyễn Thanh; Nhat, Nguyen Luong

doi:10.4108/eai.26-1-2021.168229

Cited by 9 publications

(18 citation statements)

References 30 publications

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“…-Different with published work [37], this paper does not consider Fountain codes and the cooperative jamming technique.…”

Section: A Related Workmentioning

confidence: 97%

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Outage Probability and Intercept Probability Of Cognitive IoTs Networks With Relay Selection, Passive Eavesdropper and Hardware Noises

Minh¹,

Hiến²,

Hop³

et al. 2022

Proceedings of the Seventh International Conference on Research in Intelligent and Computing in Engineering

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4This paper measures outage probability (OP) and intercept probability (IP) of a secondary secure network in a relaying underlay spectrum-sharing cognitive radio (USS-CR) system. In this scheme, one of successful secondary relays is chosen to obtain the highest signal-to-noise ratio (SNR) at a secondary destination. This paper considers the case where channel state information (CSI) of the eavesdropping links is not available. The OP and IP performance of the considered scheme is calculated via analysis and simulations, under impact of hardware noises, over Rayleigh fading channels Index Terms4Underlay spectrum-sharing cognitive radio, physical-layer security, outage probability, intercept probability, hardware impairments.

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“…-Different with published work [37], this paper does not consider Fountain codes and the cooperative jamming technique.…”

Section: A Related Workmentioning

confidence: 97%

“…At first, different with [27]- [30], this paper considers the PLS USS-CR networks. Next, although the related works [22]- [26] and [33]- [37] also study the IP/OP trade-off performance for the PLS USS-CR networks, the main difference can be listed as follows:…”

Section: A Related Workmentioning

confidence: 99%

Outage Probability and Intercept Probability Of Cognitive IoTs Networks With Relay Selection, Passive Eavesdropper and Hardware Noises

Minh¹,

Hiến²,

Hop³

et al. 2022

Proceedings of the Seventh International Conference on Research in Intelligent and Computing in Engineering

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“…Physical layer security and throughout maximization are challenges to be resolved in AANETs that can be handled through multiple access schemes [ 48 ]. As such, physical layer security can be an efficient tool to cope with the increased concern in secured AANETs [ 49 , 50 ].…”

Section: Aanet—security Perspectivementioning

confidence: 99%

AI-Driven Aeronautical Ad Hoc Networks for 6G Wireless: Challenges, Opportunities, and the Road Ahead

Bilen

Canberk

Sharma

et al. 2022

Sensors

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Aeronautical ad hoc network (AANET) has been considered a promising candidate to complete the vision of “Internet in the sky” by supporting high-speed broadband connections on airplanes for 6G networks. However, the specific characteristics of AANET restrict the applicability of conventional topology and routing management algorithms. Here, these conventional methodologies reduce the packet delivery success of AANET with higher transfer delay. At that point, the artificial intelligence (AI)-driven solutions have been adapted to AANET to provide intelligent frameworks and architectures to cope with the high complexity. The AI-driven AANET can provide intelligent topology formation, sustainability, and routing management decisions in an automated fashion by considering its specific characteristics during the learning operations. More clearly, AI-driven AANETs support intelligent management architectures, overcoming conventional methodologies’ drawbacks. Although AI-based management approaches are widely used in terrestrial networks, there is a lack of a comprehensive study that supports AI-driven solutions for AANETs. To this end, this article explores the possible utilization of primary AI methodologies on the road to AI-driven AANET. Specifically, the article addresses unsupervised, supervised, and reinforcement learning as primary AI methodologies to enable intelligent AANET topology formation, sustainability, and routing management. Here, we identify the challenges and opportunities of these primary AI methodologies during the execution of AANET management. Furthermore, we discuss the critical issue of security in AANET before providing open issues.

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“…However, the MIMO-NOMA paradigm in [53] only includes one destination, and does not exploit advantage of the CJ technique. Next, although reference [54] also studies the IP performance of secure relaying protocols employing RCs and CJ, but this work operates on cognitive environment, and a single-relay scheme is considered. Unlike [40]- [46], the relay in [54] does not forward each RCs packet to the destination.…”

Section: Introductionmentioning

confidence: 99%

“…Next, although reference [54] also studies the IP performance of secure relaying protocols employing RCs and CJ, but this work operates on cognitive environment, and a single-relay scheme is considered. Unlike [40]- [46], the relay in [54] does not forward each RCs packet to the destination. Instead, it attempts to recover the original data as soon as possible, so that it can replace the source to transmit the RCs packets to the destination.…”

Section: Introductionmentioning

confidence: 99%

Security-Reliability Trade-Off Analysis for Rateless Codes-Based Relaying Protocols Using NOMA, Cooperative Jamming and Partial Relay Selection

Duy²,

Le-Tien

et al. 2021

IEEE Access

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In this paper, we propose secure relaying transmission protocols using rateless codes, where a source sends encoded packets to two intended destinations via help of intermediate relays. Employing nonorthogonal multiple access, two encoded packets can be sent to the destinations at the same time. In addition, two partial relay selection methods are studied to enhance reliability of the data transmission at the first and second hops. For protecting the source-relay and relay-destination transmission against an eavesdropper, cooperative jamming technique is employed. Particularly, in the first phase of each data transmission cycle, the remaining relays (except the selected relay) are used to transmit artificial noise on the eavesdropper, and cooperate with the selected relay to cancel interference components. In the second phase, trusted nodes that are near the destinations are employed to play a role as the cooperative jammers. For a fair performance comparison, we design a simple transmit power allocation for the transmitter and jammer nodes at the first and second phases. We also propose an adaptive power allocation method, where fractions of the transmit power are appropriately allocated to the signals, relying on instantaneous channel gains between the selected relay and the destinations. This paper also derives exact closed-form formulas of outage probability and intercept probability over Rayleigh fading channel. All the performance analysis is then validated by Monte-Carlo simulations. The obtained results clearly show a trade-off between security and reliability that can be enhanced by optimally designing the system parameters.

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Intercept Probability Analysis of Cooperative Cognitive Networks Using Fountain Codes and Cooperative Jamming

Cited by 9 publications

References 30 publications

Outage Probability and Intercept Probability Of Cognitive IoTs Networks With Relay Selection, Passive Eavesdropper and Hardware Noises

Outage Probability and Intercept Probability Of Cognitive IoTs Networks With Relay Selection, Passive Eavesdropper and Hardware Noises

AI-Driven Aeronautical Ad Hoc Networks for 6G Wireless: Challenges, Opportunities, and the Road Ahead

Security-Reliability Trade-Off Analysis for Rateless Codes-Based Relaying Protocols Using NOMA, Cooperative Jamming and Partial Relay Selection

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