A secure routing scheme for underwater acoustic networks

Du, Xiujuan; Peng, Chunyan; Li, Keqin

doi:10.1177/1550147717713643

Cited by 18 publications

(16 citation statements)

References 15 publications

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“…The authors in [21] proposed a design of secure routing approach for UASNs. The researchers in this research proposed an efficient signature schemes with no need of the online trusted third party.…”

Section: Literature Reviewmentioning

confidence: 99%

SEECR: Secure Energy Efficient and Cooperative Routing Protocol for Underwater Wireless Sensor Networks

et al. 2020

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Underwater wireless sensor networks (UWSNs) is an emerging technology for exploration of underwater resources. Security plays an important role in the UWSNs environment because the environment of UWSNs is prone to different security attacks. This research proposes SEECR: Secure Energy Efficient and Cooperative Routing protocol for UWSNs. SEECR comprised of energy efficient and strong defense mechanism for combatting attacks in underwater environment. SEECR exploits cooperative routing for enhancing the performance of network. Considering the resource constrained UWSNs environment minimum computation is employed for implementing security so that SEECR remains suitable for underwater environment. In order to evaluate the performance of SEECR, this research compares the performance of SEECR with AMCTD: Adaptive Mobility of Courier Nodes in Threshold-optimized DBR-a wellknown routing protocol for UWSNs environment. The performance of SEECR and AMCTD protocols are evaluated using different performance evaluation parameters such as number of alive nodes, transmission loss, throughput, energy tax and end-to-end delay. The results suggest an improved performance of SEECR over AMCTD. SEECR shows an improvement of 9% in terms of number of alive nodes, over 50% reduction in terms of transmission loss, up to 9% increase in throughput, up to 23% reduction in energy tax, and 25% reduction in end-to-end delay. Further, we observe that attack significantly degrades the performance of AMCTD whereas due to the embedded defense mechanism in SEECR the impact of attack is negligible.

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Section: Literature Reviewmentioning

confidence: 99%

SEECR: Secure Energy Efficient and Cooperative Routing Protocol for Underwater Wireless Sensor Networks

et al. 2020

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“…(see the survey article 27‐29 and the references therein for more details). There are few publications on secure routing in UWASNs 30 and, 31 which design routing protocols to detect a wormhole link in an UWASN. In Reference 30, Zhang and Zhang detect a wormhole link through a set of neighbor discovery protocols based on the direction of arrival of the acoustic wave.…”

Section: Related Work and Contributions Of This Workmentioning

confidence: 99%

“…In Reference 30, Zhang and Zhang detect a wormhole link through a set of neighbor discovery protocols based on the direction of arrival of the acoustic wave. A secure, anonymous routing protocol is presented in Reference 31 which performs two‐way signature‐based authentication under the assumption that the attacker node has no information (such as location, ID, and so on) about the legitimate nodes.…”

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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“…A secure and anonymous routing scheme [28] with short digital signature algorithm is proposed without any online trusted third party recommendation, which is used for authentication between source and destination. Then trapdoor scheme is proposed for routing messages.…”

Section: Prior Work On Security Schemesmentioning

confidence: 99%

E2-SCRP: An Energy Efficient Secure Cluster-based Routing Protocol for 3D Underwater Acoustic MANET (UWMANET)

Yadav¹,

Kush²

2019

IJITEE

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In the current years, Underwater Mobile Ad hoc Network (UWMANET) has emerged as an enthusiastic field for supporting disaster prevention applications (Climate and Weather Observation, Earthquakes in Ocean (Tsunamis), underwater level navigation and tracking). In UWMANET, conventional data transmission methods have certain drawbacks such as high energy consumption, packet loss rate and end-toend delay. Nowadays, mobile node i.e. Autonomous Underwater Vehicle (AUV) is widely used for data collection from underwater sensors, which act as a relay between sensor node and surface sink. Security is a significant issue in UWMANET, which is required for secure communications. In this paper, Energy Efficient Secure Cluster based Routing Protocol called E2 -SCRP is presented in 3D UWMANET environment. The qu-Vanstone based Elliptic Curve Cryptography (qV-ECC) based short-term public key generation scheme is proposed for sensor node authentication. To reduce energy consumption, layer based clustering algorithm is proposed using Type-2 Fuzzy Logic System (T2fls) where Trust value, Distance between neighbors, Relative mobility and Node buffer size for cluster head (CH) election are considered. Next step is to execute two different security schemes based on Event Management. For event occurred clusters, Ciphertext Stealing Technique (CST) is used to resolve the ciphertext expansion problem. For normal data transmission, Lightweight Digital Watermarking (LDW) with Firefly algorithm is proposed. Optimal route for data transmission is executed by Pigeons Swarm Optimization (PiSO) and the forward to sink node via Adjacent AUV. Experiments conducted using NS3 (3.26) and the performance is evaluated for several metrics include packet delivery ratio, energy consumption, end-to-end delay, security strength, and throughput

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A secure routing scheme for underwater acoustic networks

Cited by 18 publications

References 15 publications

SEECR: Secure Energy Efficient and Cooperative Routing Protocol for Underwater Wireless Sensor Networks

SEECR: Secure Energy Efficient and Cooperative Routing Protocol for Underwater Wireless Sensor Networks

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

E2-SCRP: An Energy Efficient Secure Cluster-based Routing Protocol for 3D Underwater Acoustic MANET (UWMANET)

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