Study on Denial of Service against Underwater Acoustic Networks

Dong, Yangze; Dong, Hefeng; Zhang, Gangqiang

doi:10.12720/jcm.9.2.135-143

Cited by 17 publications

(4 citation statements)

References 10 publications

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“…Also, they have put forth some analysis impact of various attacks in wired underwater sensor networks. Followed by them, an experimental approach done by Habib et al [10] provides a better analysis of the effects of active attacks in UWSN using OPNET simulator. As a useful measure, various security mechanisms are designed by various researchers.…”

Section: Related Workmentioning

confidence: 99%

Energy-efficient intrusion detection system for secure acoustic communication in under water sensor networks

2023

KSII TIIS

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Under Water Sensor Networks (UWSN) has gained attraction among various communities for its potential applications like acoustic monitoring, 3D mapping, tsunami detection, oil spill monitoring, and target tracking. Unlike terrestrial sensor networks, it performs an acoustic mode of communication to carry out collaborative tasks. Typically, surface sink nodes are deployed for aggregating acoustic phenomena collected from the underwater sensors through the multi-hop path. In this context, UWSN is constrained by factors such as lower bandwidth, high propagation delay, and limited battery power. Also, the vulnerabilities to compromise the aquatic environment are in growing numbers. The paper proposes an Energy-Efficient standalone Intrusion Detection System (EEIDS) to entail the acoustic environment against malicious attacks and improve the network lifetime. In EEIDS, attributes such as node ID, residual energy, and depth value are verified for forwarding the data packets in a secured path and stabilizing the nodes' energy levels. Initially, for each node, three agents are modeled to perform the assigned responsibilities. For instance, ID agent verifies the node's authentication of the node, EN agent checks for the residual energy of the node, and D agent substantiates the depth value of each node. Next, the classification of normal and malevolent nodes is performed by determining the score for each node. Furthermore, the proposed system utilizes the sheep-flock heredity algorithm to validate the input attributes using the optimized probability values stored in the training dataset. This assists in finding out the best-fit motes in the UWSN. Significantly, the proposed system detects and isolates the malicious nodes with

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Section: Related Workmentioning

confidence: 99%

Energy-efficient intrusion detection system for secure acoustic communication in under water sensor networks

2023

KSII TIIS

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“…A logical removal of a compromised node should be [50] carried out by rekeying the whole network because of a possible leakage of the secret contained in compromised nodes [6]. However, this may not be sufficient because a compromised node can still jam the network, and a physical removal is essential.…”

Section: Challenges For Uwans Securitymentioning

confidence: 99%

“…Some features of UWANs also pose challenges to attackers and can be leveraged somewhat in security scheme designs. These features include spare node distribution, low heterogeneity of network nodes, well-planned network deployment with a pre-configuration of security measures [48]- [50], as summarized below.…”

Section: Challenges To Attackersmentioning

confidence: 99%

On Securing Underwater Acoustic Networks: A Survey

Jiang

2019

IEEE Commun. Surv. Tutorials

123

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Underwater acoustic networks (UWANs) are often deployed in unattended and untransparent or even hostile environments and face many security threats, while many applications based on UWANs require secure communication, such as costal defense, submarine communication and harbor security. Peculiar features of UWANs such as very constrained resources pose big challenges in defending UWANs against security threats, and many research results are published to address these issues along with several brief surveys available in the literature. This paper aims to provide a comprehensive survey on UWAN security by first discussing the fundamental of network security in general and the main UWAN security threats faced by the physical layer to the transport layer. Then the paper reviews countermeasure schemes against the typical UWAN security threats, securing UWAN protocols and cryptographic primitives designed for UWANs as well as UWAN security structures that address several security issues systematically. The research of UWAN security is still in an early stage, and the paper discusses several important issues necessarily for further studies at the end.

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“…Habib et al [19] discussed the possible occurrence of a wormhole and a Sybil attack in UWSN and listed the security requirements. Dong et al [20] simulated and analyzed the effect of DoS attacks, such as flooding, wormhole, and selective forwarding of acoustic networks after slightly modifying the radio transceiver pipeline stage in an OPNET simulation modeler.…”

Section: Introductionmentioning

confidence: 99%

Secure communication in mobile underwater wireless sensor networks

Das¹,

Thampi

2015

2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

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Underwater sensor networks (UWSN) provide a promising solution for several aquatic applications. Mobile UWSNs are vulnerable to various threats because of their harsh environment, acoustic communication channel, bandwidth limitation, high propagation delay, multipath effect, and mobility. Therefore, appropriate security mechanisms should be included in networking services, such as localization, to facilitate time critical applications. In this paper, we discuss various Denial-of-Service attacks in mobile UWSNs. We simulated a flooding attack and an out-of-coverage problem caused by mobility by using Aqua-Sim, and analyzed their impact on UWSN performance. In addition, we surveyed UWSN localization techniques and secure localization schemes of terrestrial wireless sensor networks (WSN). Simulation experiments were conducted to analyze the performance variation between mobile UWSNs and mobile WSNs. The study concluded that the variation in the network performance of mobile UWSNs varies from that of WSNs. Therefore, the security mechanisms proposed for terrestrial WSNs are unsuitable for UWSNs.

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Study on Denial of Service against Underwater Acoustic Networks

Cited by 17 publications

References 10 publications

Energy-efficient intrusion detection system for secure acoustic communication in under water sensor networks

Energy-efficient intrusion detection system for secure acoustic communication in under water sensor networks

On Securing Underwater Acoustic Networks: A Survey

Secure communication in mobile underwater wireless sensor networks

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