A secure and energy balanced clustering protocol for underwater wireless sensor networks

Yang, Guang; Dai, Lie; Yan, Lei

doi:10.1109/spac46244.2018.8965617

Cited by 4 publications

(7 citation statements)

References 23 publications

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“…In order to ensure the security of UWSNs, ref. [ 10 ] proposed a security clustering protocol based on a weighted algorithm to calculate trust value. Only the direct trust value is considered in this protocol to avoid the extra communication energy consumption caused by transmitting the indirect trust value.…”

Section: Related Workmentioning

confidence: 99%

“…Although many trust model-based IDS for UWSN security have been proposed, there are still some limitations. Based on the weighted algorithm in [ 8 , 10 ], the determination of experience weight and trust threshold is subjective and will produce inaccurate results. The authors in [ 9 ] avoid the addition of trust measure and subjective weight, reduce the error of trust calculation, and effectively improve the detection accuracy of the defective nodes.…”

Section: Related Workmentioning

confidence: 99%

“…In the past decade, the research of IDS based on trust management [ 7 , 8 , 9 , 10 , 11 , 12 , 13 ] in UWSNs has achieved some achievements; however, there are still some defects. (1) The weight of each piece of trust evidence in the trust management mechanism based on the weighting algorithm is usually determined empirically, so it cannot be assumed to be optimal.…”

Section: Introductionmentioning

confidence: 99%

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DOIDS: An Intrusion Detection Scheme Based on DBSCAN for Opportunistic Routing in Underwater Wireless Sensor Networks

Zhang

Wang

et al. 2023

Sensors

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In Underwater Wireless Sensor Networks (UWSNs), data should be transmitted to data centers reliably and efficiently. However, due to the harsh channel conditions, reliable data transmission is a challenge for large-scale UWSNs. Thus, opportunistic routing (OR) protocols with high reliability, strong robustness, low end-to-end delay, and high energy efficiency are widely applied. However, OR in UWSNs is vulnerable to routing attacks. For example, sinkhole attack nodes can attract traffic from surrounding nodes by forging information such as the distance to the sink node. In order to reduce the negative impact of malicious nodes on data transmission, we propose an intrusion detection scheme (IDS) based on the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm for OR (DOIDS) in this paper. DOIDS is based on small-sample IDS and is suitable for UWSNs with sparse node deployment. In DOIDS, the local monitoring mechanism is adopted. Every node in the network running DOIDS can select the trusted next hop. Firstly, according to the behavior characteristics of common routing attack nodes and unreliable underwater acoustic channel characteristics, DOIDS selected the energy consumption, forwarding, and link quality information of candidate nodes as the detection feature values. Then, the collected feature information is used to detect potential abnormal nodes through the DBSCAN clustering algorithm. Finally, a decision function is defined according to the time decay function to reduce the false detection rate of DOIDS. It makes a final judgment on whether the potential abnormal node is malicious. The simulation results show that the algorithm can effectively improve the detection accuracy rate (3% to 15% for different scenarios) and reduce the false positive rate, respectively.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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DOIDS: An Intrusion Detection Scheme Based on DBSCAN for Opportunistic Routing in Underwater Wireless Sensor Networks

Zhang

Wang

et al. 2023

Sensors

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“…In [27], Robert et al proposed a novel clustering algorithm called the murmuration inspired clustering algorithm, which can improve the network lifetime by reducing the unnecessary overhead. In [28], Yang et al designed a clustering protocol to enhance the security of the UWA-SN. The above literatures mainly focus on the non-cooperative underwater acoustic sensor network, and have ignored the motion of the underwater sensor node caused by the ocean current in practice.…”

Section: Related Workmentioning

confidence: 99%

An Energy Optimization Clustering Scheme for Multi-Hop Underwater Acoustic Cooperative Sensor Networks

Chen

Wan

et al. 2020

IEEE Access

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In this paper, we propose an improved energy optimization clustering algorithm (EOCA) for the multi-hop underwater acoustic cooperative sensor networks (UWA-CSN) due to the limited energy supply of the underwater sensor nodes. The proposed EOCA scheme considers multiple factors, such as the number of neighbor nodes, the residual energy of each node, the motion of the sensor nodes caused by the ocean currents, and the distance between the sink node and each underwater sensor node. All these factors are considered within the framework of the multi-hop cooperative communication. Moreover, in the proposed energy optimization scheme, we define a residual energy based maximum effective communication range (reE-MECR) according to the residual energy of each underwater sensor node, which can adaptively control the energy consumption of data transmission for each hop. Compared with the existing clustering scheme, the experimental results demonstrate that the proposed EOCA scheme can not only prolong the life time of the multi-hop UWA-CSN, but also keep a good communication and networking performance, including the package delivery ratio, the energy consumption efficiency, and the network coverage area. The proposed scheme can obtain both the clustering benefit and the cooperative communication benefit for the multi-hop UWA-SN in terms of energy saving in underwater environments. INDEX TERMS Underwater acoustic networks, cooperative communications, clustering algorithm, energy optimization.

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“…They conclude on three main challenges to trust management: the underwater environment and the acoustic communication channel, node mobility, and sparse node deployment. Yang et al 43 discuss constraints and challenges in UWSN, and study trust management. The authors propose a secure and energy balanced protocol based on an adaptive algorithm to prolong network lifetime and improve security.…”

Section: Attack Detection and Mitigationmentioning

confidence: 99%

Security challenges of Internet of Underwater Things: A systematic literature review

Yisa

Dargahi

Belguith

et al. 2020

Trans Emerging Tel Tech

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Water covers approximately 71% of the earth surface, yet much of the underwater world remains unexplored due to technology limitations. Internet of Underwater Things (IoUT) is a network of underwater objects that enables monitoring subsea environment remotely. Underwater Wireless Sensor Network (UWSN) is the main enabling technology for IoUT. UWSNs are characterised by the limitations of the underlying acoustic communication medium, high energy consumption, lack of hardware resources to implement computationally intensive tasks and dynamic network topology due to node mobility. These characteristics render UNWSNs vulnerable to different attacks, such as Wormhole, Sybil, flooding, jamming, spoofing, and Denial of Service attacks. This article reviews peer-reviewed literature that addresses the security challenges and attacks on UWSNs as well as possible mitigative solutions. Findings show that the biggest contributing factors to security threats in UWSNs are the limited energy supply, the limited communication medium and the harsh underwater communication conditions. Researchers in this field agree that the security measures of terrestrial wireless sensor networks are not directly applicable to UWSNs due to the unique nature of the underwater environment where resource management becomes a significant challenge. This article also outlines future research directions on security and privacy challenges of IoUT and UWSN.

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A secure and energy balanced clustering protocol for underwater wireless sensor networks

Cited by 4 publications

References 23 publications

DOIDS: An Intrusion Detection Scheme Based on DBSCAN for Opportunistic Routing in Underwater Wireless Sensor Networks

DOIDS: An Intrusion Detection Scheme Based on DBSCAN for Opportunistic Routing in Underwater Wireless Sensor Networks

An Energy Optimization Clustering Scheme for Multi-Hop Underwater Acoustic Cooperative Sensor Networks

Security challenges of Internet of Underwater Things: A systematic literature review

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