Iterative Key Distribution Based on MAD Neighborhood in Underwater Mobile Sensor Networks

Liu, Chuan-Gang; Chao, Chih-Hung; Leou, Chih-Wen; Li, Jung-Shian

doi:10.1093/comjnl/bxs031

Cited by 7 publications

(5 citation statements)

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“…However, network-level key distribution is a hard issue. Thus a key distribution scheme to fit the characteristics of sensors' movement is discussed in [117] to improve the connectivity and security of UWANs. It tries to reduce the redundancy of the key distribution system along with a corresponding secure routing method based on the Focused Beam Routing Protocol (FBR) [118], [119].…”

Section: ) Key Generation For Reciprocal Channelsmentioning

confidence: 99%

On Securing Underwater Acoustic Networks: A Survey

Jiang

2019

IEEE Commun. Surv. Tutorials

111

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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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Section: ) Key Generation For Reciprocal Channelsmentioning

confidence: 99%

On Securing Underwater Acoustic Networks: A Survey

Jiang

2019

IEEE Commun. Surv. Tutorials

111

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“…The field of underwater acoustic networks has attracted a lot of attention in the research community, recently. Many applications such as environmental and pollution monitoring [ 2 , 19 , 20 ], oceanographic data collection [ 2 ], distributed surveillance [ 17 ], oceanic sampling [ 21 ], offshore exploration [ 2 , 20 ], disaster prevention [ 2 ], mine reconnaissance [ 2 ] among others are developed. However, there are many challenging issues that contribute to the UASNs performance degradation that include high energy consumption, loss of connectivity, security, routing and cooperation [ 20 , 22 , 23 ].…”

Section: Underwater Acoustic Sensor Networkmentioning

confidence: 99%

Game Theory-Based Cooperation for Underwater Acoustic Sensor Networks: Taxonomy, Review, Research Challenges and Directions

Muhammed

Anisi

Zareei

et al. 2018

Sensors

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Exploring and monitoring the underwater world using underwater sensors is drawing a lot of attention these days. In this field cooperation between acoustic sensor nodes has been a critical problem due to the challenging features such as acoustic channel failure (sound signal), long propagation delay of acoustic signal, limited bandwidth and loss of connectivity. There are several proposed methods to improve cooperation between the nodes by incorporating information/game theory in the node’s cooperation. However, there is a need to classify the existing works and demonstrate their performance in addressing the cooperation issue. In this paper, we have conducted a review to investigate various factors affecting cooperation in underwater acoustic sensor networks. We study various cooperation techniques used for underwater acoustic sensor networks from different perspectives, with a concentration on communication reliability, energy consumption, and security and present a taxonomy for underwater cooperation. Moreover, we further review how the game theory can be applied to make the nodes cooperate with each other. We further analyze different cooperative game methods, where their performance on different metrics is compared. Finally, open issues and future research direction in underwater acoustic sensor networks are highlighted.

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“…The unique characteristics of channel demands for new methods of data encryption. A key establishment scheme proposed in the previous study 17 is based on the channel characteristics, and the key distribution scheme proposed in another study 19 is based on mobility model of underwater sensors.…”

Section: Related Workmentioning

confidence: 99%

Agent‐based secure routing for underwater acoustic sensor networks

Bharamagoudra

Manvi

2017

Int J Communication

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The underwater networks have severe security implications and are vulnerable to various types of attacks such as selective forwarding, wormhole, and sinkhole. Neighbor discovery, a fundamental requirement for routing is vulnerable to wormhole attack, which enables false neighbor acceptance, thereby degrading the routing performance. The proposed agent-based secured routing scheme enhances the quality of service by discovering the wormhole resilient secure neighbors and route the information through the secure path. This scheme uses 4 agencies, namely, security, routing, underwater gateway, and vehicle, which are embedded with static and mobile agents. (1) Agents in security agency of a node discover secured neighbors by using the direction of arrival estimation and authentication, (2) agents in routing agency of a node establish secured routes from source to surface gateway, (3) agents in Underwater Gateway Agency communicate with Autonomous Underwater Vehicles (AUVs) and underwater nodes for key distribution, and (4) vehicle traversing agency in AUV coordinates with Underwater Gateway Agency for changing AUVs traversal to cover the isolated network area. The proposed scheme depicts the improved performance compared to basic neighbor discovery and channel aware routing protocol in terms of failure detection, energy consumption, and overheads. KEYWORDS cryptographic suite, secure communication, software agents, underwater sensor network, wormhole attack 1 Int J Commun Syst. 2017;30:e3281.wileyonlinelibrary.com/journal/dac

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Iterative Key Distribution Based on MAD Neighborhood in Underwater Mobile Sensor Networks

Cited by 7 publications

References 0 publications

On Securing Underwater Acoustic Networks: A Survey

On Securing Underwater Acoustic Networks: A Survey

Game Theory-Based Cooperation for Underwater Acoustic Sensor Networks: Taxonomy, Review, Research Challenges and Directions

Agent‐based secure routing for underwater acoustic sensor networks

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