On Modeling Eavesdropping Attacks in Underwater Acoustic Sensor Networks

Wang, Qiu; Dai, Hong-Ning; Li, Xuran; Wang, Hao; Hong, Xia

doi:10.3390/s16050721

Cited by 34 publications

(16 citation statements)

References 39 publications

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“…Eavesdropping attacks on UWASNs are studied in References 37 and 38. Specifically, Reference 37 considers a single eavesdropper Eve that attempts to overhear the ongoing communication between the nodes of a UWASN, and computes the success probability of Eve (ie, the probability that Eve can decode what she hears). In Reference 38, the authors maximize the SR of a UWA channel that is under threat by a single eavesdropper Eve.…”

Section: Related Work and Contributions Of This Workmentioning

confidence: 99%

Maximizing secrecy rate of an orthogonal frequency division multiplexing‐based multihop underwater acoustic sensor network

Aman

Rahman

Haider

et al. 2020

Trans Emerging Tel Tech

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In this article, we consider an eavesdropping attack on a multihop, underwater acoustic sensor network that consists of M + 1 underwater sensors which report their sensed data via orthogonal frequency division multiplexing (OFDM) scheme to a sink node on the water surface. Furthermore, due to the presence of a passive malicious node in nearby vicinity, the multihop underwater acoustic (UWA) channel between a sensor node and the sink node is prone to eavesdropping attack on each hop. Therefore, the problem at hand is to do (helper/relay) node selection (for data forwarding onto the next hop) as well as power allocation (across the OFDM subcarriers) in a way that the secrecy rate is maximized at each hop. To this end, this problem of node selection and power allocation (NSPA) is formulated as a mixed binary‐integer optimization program, which is then optimally solved via decomposition approach, and by exploiting duality theory along with the Karush‐Kuhn‐Tucker conditions. We also provide a computationally efficient, suboptimal solution to the NSPA problem, where we reformulate it as a mixed‐integer linear program and solve it via decomposition and geometric approach. Moreover, when the UWA channel is multipath (and not just line‐of‐sight), we investigate an additional, machine learning‐based approach to solve the NSPA problem. Finally, we compute the computational complexity of all the three proposed schemes (optimal, suboptimal, and learning‐based), and do extensive simulations to compare their performance against each other and against the baseline schemes (which allocate equal power to all the subcarriers and do depth‐based node selection). In a nutshell, this work proposes various (optimal and suboptimal) methods for providing information‐theoretic security at the physical layer of the protocol stack through resource allocation.

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Section: Related Work and Contributions Of This Workmentioning

confidence: 99%

Maximizing secrecy rate of an orthogonal frequency division multiplexing‐based multihop underwater acoustic sensor network

Aman

Rahman

Haider

et al. 2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…In [ 18 ], the authors presented an analytical model which investigates the probability of eavesdropping attacks with consideration of underwater acoustic channel conditions, including signal attenuation and ambient noise. The relationship between the eavesdropping success condition and the underwater acoustic signal channel is established.…”

Section: Threats and Challenges In Underwater Wireless Sensor Netwmentioning

confidence: 99%

Challenges, Threats, Security Issues and New Trends of Underwater Wireless Sensor Networks

Yang

Dai

Wei

2018

Sensors

100

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With the advances in technology, there has been an increasing interest from researchers and industrial institutions in the use of underwater wireless sensor networks (UWSNs). Constrained by the open acoustic channel, harsh underwater environment, and their own particularities, UWSNs are vulnerable to a wide class of security threats and malicious attacks. However, most existing research into UWSNs has not taken security into consideration. Moreover, the existing relatively mature security mechanisms for WSNs cannot be directly utilized in UWSNs. For these reasons, this article aims to present a comprehensive overview of the particularities, constraints, attacks, challenges and current security mechanisms of UWSNs. In addition, challenging, open and hot research topics are outlined.

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“…Therefore, we calculate the numerical results of

. After setting

dB [ 29 ] and

dB, we obtain the numerical results of

with different frequency f , spreading factor k , and wind speed w , as shown in Figure 2 . From Figure 2 , we can see that

varies with f .…”

Section: Analysis Of Link Connectivity and Probability Of Coveragementioning

confidence: 99%

“…The noise of waves, brought by wind, can be expressed as a function of wind speed w (m/s). Then, the formula between power spectral density of the four noise sources and frequency in kHz in dB re

Pa per Hz are given by [ 29 ] as follows:

where

, and

express the noise produced by turbulence, shipping activity, wind, and thermal, respectively. Then the total noise can be expressed as:

…”

mentioning

confidence: 99%

Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint

Wang

Dai

Wang

2017

Sensors

Self Cite

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Extensive attention has been given to the use of cognitive radio technology in underwater acoustic networks since the acoustic spectrum became scarce due to the proliferation of human aquatic activities. Most of the recent studies on underwater cognitive acoustic networks (UCANs) mainly focus on spectrum management or protocol design. Few efforts have addressed the quality-of-service (QoS) of UCANs. In UCANs, secondary users (SUs) have lower priority to use acoustic spectrum than primary users (PUs) with higher priority to access spectrum. As a result, the QoS of SUs is difficult to ensure in UCANs. This paper proposes an analytical model to investigate the link connectivity and the probability of coverage of SUs in UCANs. In particular, this model takes both topological connectivity and spectrum availability into account, though spectrum availability has been ignored in most recent studies. We conduct extensive simulations to evaluate the effectiveness and the accuracy of our proposed model. Simulation results show that our proposed model is quite accurate. Besides, our results also imply that the link connectivity and the probability of coverage of SUs heavily depend on both the underwater acoustic channel conditions and the activities of PUs.

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On Modeling Eavesdropping Attacks in Underwater Acoustic Sensor Networks

Cited by 34 publications

References 39 publications

Maximizing secrecy rate of an orthogonal frequency division multiplexing‐based multihop underwater acoustic sensor network

Maximizing secrecy rate of an orthogonal frequency division multiplexing‐based multihop underwater acoustic sensor network

Challenges, Threats, Security Issues and New Trends of Underwater Wireless Sensor Networks

Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint

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