Active Eavesdropping in Short Packet Communication: Average Secrecy Throughput Analysis

Ari, Nihan; Thomos, Nikolaos; Musavian, Leila

doi:10.1109/iccworkshops50388.2021.9473562

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…In the classic scenario of fast fading AWGN channels with eavesdroppers, active eavesdroppers can seriously reduce the achievable confidentiality rate of signals. Ari et al [10] studied the efficient transmission of data packets when active interception was performed in wireless networks. Through the comparisons with passive interception, it deeply demonstrated how that active interception affected the confidentiality throughput of data packet communication.…”

Section: Introductionmentioning

confidence: 99%

AINL: Network Topology Identification of Multiple Communication Modes via Active Intercepting and Node Locating

Feng,

Cui

2023

IEEE Access

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Recent advance in the technologies of the tactical communication network has provided great opportunities for the new network-centric combat mode. Efficient modern communication wars are appealing for facilely mastering the key nodes and topological structure of non-cooperative networks at low computational cost. Accurate network topology identification becomes particularly relevant during the process of multiple communication situations. This paper proposes a novel method called active interception and node location (AINL) to achieve topology identification of multiple communication modes via active intercepting and node locating. Specially, active interception aims to use interfering nodes to interfere with the nodes in communication until frequency hopping occurs to obtain the corresponding power information and then calculate the location of communication nodes and their connection relationship. Node location adopts the positioning technology based on Received Signal Strength (RSS) and second-order cone programming relaxation to determine the location of communication nodes. The node location mechanism is automatically invoked to facilitate the accuracy of topology identification when there is a significant error in the estimated position of active interception. Experimental simulation results indicate that AINL can outperform competing passive interception methods as well as location methods significantly with a higher accuracy, lower power consumption and more stable recognition.

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Section: Introductionmentioning

confidence: 99%

AINL: Network Topology Identification of Multiple Communication Modes via Active Intercepting and Node Locating

Feng,

Cui

2023

IEEE Access

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“…The illegitimate node that only overhears the main channel transmission is known as a passive eavesdropper. On the other side, when the illegitimate node simultaneously transmits a jamming signal while overhearing the main channel transmission, it is known as an active eavesdropper and more advanced than a passive eavesdropper [13].…”

Section: Introductionmentioning

confidence: 99%

Secrecy Performance Analysis of Cooperative Multihop Transmission for WSNs under Eavesdropping Attacks

Triwidyastuti,

Perdana,

Shim

et al. 2023

Sensors

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Multihop transmission is one of the important techniques to overcome the transmission coverage of each node in wireless sensor networks (WSNs). However, multihop transmission has a security issue due to the nature of a wireless medium. Additionally, the eavesdropper also attempts to interrupt the legitimate users’ transmission. Thus, in this paper, we study the secrecy performance of a multihop transmission under various eavesdropping attacks for WSNs. To improve the secrecy performance, we propose two node selection schemes in each cluster, namely, minimum node selection (MNS) and optimal node selection (ONS) schemes. To exploit the impact of the network parameters on the secrecy performance, we derive the closed-form expression of the secrecy outage probability (SOP) under different eavesdropping attacks. From the numerical results, the ONS scheme shows the most robust secrecy performance compared with the other schemes. However, the ONS scheme requires a lot of channel information to select the node in each cluster and transmit information. On the other side, the MNS scheme can reduce the amount of channel information compared with the ONS scheme, while the MNS scheme still provides secure transmission. In addition, the impact of the network parameters on the secrecy performance is also insightfully discussed in this paper. Moreover, we evaluate the trade-off of the proposed schemes between secrecy performance and computational complexity.

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Secrecy Coding Analysis of Short-Packet Full-Duplex Transmissions with Joint Iterative Channel Estimation and Decoding Processes

Vuong

Gautier

Fiche

et al. 2022

Sensors

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This paper studies the secrecy coding analysis achieved by the self-jamming technique in the presence of an eavesdropper by considering a short-packet Full-Duplex (FD) transmission developed based on iterative blind or semi-blind channel estimation and advanced decoding algorithms. Indeed, the legitimate receiver and eavesdropper can simultaneously receive the intended signal from the transmitter and broadcast a self-jamming or jamming signal to the others. Unlike other conventional techniques without feedback, the blind or semi-blind algorithm applied at the legitimate receiver can simultaneously estimate, firstly, the Self-Interference (SI) channel to cancel the SI component and, secondly, estimate the propagation channel, then decode the intended messages by using 5G Quasi-Cyclic Low-Density Parity Check (QC-LDPC) codes. Taking into account the passive eavesdropper case, the blind channel estimation with a feedback scheme is applied, where the temporary estimation of the intended channel and the decoded message are fed back to improve both the channel estimation and the decoding processes. Only the blind algorithm needs to be implemented in the case of a passive eavesdropper because it achieves sufficient performances and does not require adding pilot symbols as the semi-blind algorithm. In the case of an active eavesdropper, based on its robustness in the low region of the Signal-to-Noise Ratio (SNR), the semi-blind algorithm is considered by trading four pilot symbols and only requiring the feedback for channel estimation processes in order to overcome the increase in noise in the legitimate receiver. The results show that the blind or semi-blind algorithms outperform the conventional algorithm in terms of Mean Square Error (MSE), Bit Error Rate (BER) and security gap (Sg). In addition, it has been shown that the blind or semi-blind algorithms are less sensitive to high SI and self-jamming interference power levels imposed by secured FD transmission than the conventional algorithms without feedback.

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Active Eavesdropping in Short Packet Communication: Average Secrecy Throughput Analysis

Cited by 3 publications

References 17 publications

AINL: Network Topology Identification of Multiple Communication Modes via Active Intercepting and Node Locating

AINL: Network Topology Identification of Multiple Communication Modes via Active Intercepting and Node Locating

Secrecy Performance Analysis of Cooperative Multihop Transmission for WSNs under Eavesdropping Attacks

Secrecy Coding Analysis of Short-Packet Full-Duplex Transmissions with Joint Iterative Channel Estimation and Decoding Processes

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