Cooperative Authentication in Underwater Acoustic Sensor Networks

Diamant, Roee; Casari, Paolo; Tomasin, Stefano

doi:10.1109/twc.2018.2886896

Cited by 53 publications

(24 citation statements)

References 35 publications

(54 reference statements)

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“…However, it induces collision among neighboring contending device. In [15], showed that UWSN packets rarely include encryption due to physical and performance limitations. Thus, UWSN is exposed to various kind of security attack breaching legitimate message.…”

Section: Litterature Surveymentioning

confidence: 99%

“…These model aims to attain optimal use of available resource (spectrum). Thus, these model are referred as optimal resource allocation schemes [14,15]. In optimal resource allocation schemes, the sensor device, rather than avoiding a jammer by using different instance of spectrum, depends on exploring the existing spectrum in most resourceful way to mitigate jamming.…”

Section: Introductionmentioning

confidence: 99%

“…In optimal resource allocation schemes, the sensor device, rather than avoiding a jammer by using different instance of spectrum, depends on exploring the existing spectrum in most resourceful way to mitigate jamming. Further, [15] presented a cooperative authentication communication to attain optimal resource allocation. Similarly, [16] presented cooperative communication scheme for relay/hop selection and [17] adopted cross layer design for relay node selection.…”

Section: Introductionmentioning

confidence: 99%

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Maximize resource utilization based channel access model with presence of reactive jammer for underwater wireless sensor network

Bagali¹,

Sundaraguru²

2020

IJECE

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Underwater sensor networks (UWSNs) are vulnerable to jamming attacks. Especially, reactive jamming which emerged as a greatest security threat to UWSNs. Reactive jammer are difficult to be removed, defended and identified. Since reactive jammer can control and regulate (i.e., the duration of the jam signal) the probability of jamming for maintaining high vulnerability with low detection probability. The existing model are generally designed considering terrestrial wireless sensor networks (TWSNs). Further, these models are limited in their ability to detect jamming correctly, distinguish between the corrupted and uncorrupted parts of a packet, and be adaptive with the dynamic environment. Cooperative jamming model has presented in recent times to utilize resource efficiently. However, very limited work is carried out using cooperative jamming detection. For overcoming research challenges, this work present Maximize Resource Utilization based Channel Access (MRUCA). The MRUCA uses cross layer design for mitigating reactive jammer (i.e., MRUCA jointly optimizes the cooperative hopping probabilities and channel accessibility probabilities of authenticated sensor device). Along with channel, load capacity of authenticated sensor device is estimated to utilize (maximize) resource efficiently. Experiment outcome shows the proposed MRUCA model attain superior performance than state-of-art model in terms of packet transmission, BER and Detection rate.

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Section: Litterature Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Maximize resource utilization based channel access model with presence of reactive jammer for underwater wireless sensor network

Bagali¹,

Sundaraguru²

2020

IJECE

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“…U DERWATER acoustic sensor networks (UASNs) are expected to play an increasingly important role in many fields, such as marine environmental monitoring, offshore exploration, auxiliary navigation, tsunami warning and marine military operations [1][2][3][4]. As shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

A Trust Update Mechanism Based on Reinforcement Learning in Underwater Acoustic Sensor Networks

Han

Jiang

et al. 2022

IEEE Trans. on Mobile Comput.

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Underwater acoustic sensor networks (UASNs) have been widely applied in marine scenarios, such as offshore exploration, auxiliary navigation and marine military. Due to the limitations in communication, computation, and storage of underwater sensor nodes, traditional security mechanisms are not applicable to UASNs. Recently, various trust models have been investigated as effective tools towards improving the security of UASNs. However, the existing trust models lack flexible trust update rules, particularly when facing the inevitable dynamic fluctuations in the underwater environment and a wide spectrum of potential attack modes. In this study, a novel trust update mechanism for UASNs based on reinforcement learning (TUMRL) is proposed. The scheme is developed in three phases. First, an environment model is designed to quantify the impact of underwater fluctuations in the sensor data, which assists in updating the trust scores. Then, the definition of key degree is given; in the process of trust update, nodes with higher key degree react more sensitively to malicious attacks, thereby better protecting important nodes in the network. Finally, a novel trust update mechanism based on reinforcement learning is presented, to withstand changing attack modes while achieving efficient trust update. The experimental results prove that our proposed scheme has satisfactory performance in improving trust update efficiency and network security.

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“…Besides, the underwater acoustic channel is a public circumstance, which makes underwater acoustic communication more vulnerable to various attacks [1]. Recent studies on UANs mainly focus on network construction or protocol management [2], while only a few studies have been done on network safety [1]- [5]. Consequently, we chiefly study the safety matters for UANs in this scheme.…”

Section: Introductionmentioning

confidence: 99%

A Secure Remote Mutual Authentication Scheme Based on Chaotic Map for Underwater Acoustic Networks

Zhang

Liu

2020

IEEE Access

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Underwater acoustic networks (UANs) have emerged as a new wireless sensor network structure widely used in many applications. Sensor nodes are usually placed in a hostile and unattended underwater environment to gather information with limited resource. Since the underwater information is sensitive and special, only authenticated users have rights to get the information. The existing secure resource-constrained authentication schemes are not inapplicable for underwater acoustic networks, so a lightweight authentication scheme is the primarily task in underwater acoustic networks. In this paper, we present a chaotic maps remote user authentication and key agreement scheme for underwater acoustic networks based on the DLP and DHP, in which only authenticated users have rights to obtain the information. The proposed scheme applies the lightweight cryptographic primitives, such as one-way hash function and chaotic maps to accomplish mutual authentication and key agreement for underwater acoustic networks. The security of the proposed scheme is certified by applying the BAN logic and Random Oracle Model. Security analysis shows that our proposed scheme is safe and can meet ten security requirements and seven security goals. Performance analysis shows that our proposed scheme is more efficient compared with other resource-constrained schemes.

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Cooperative Authentication in Underwater Acoustic Sensor Networks

Cited by 53 publications

References 35 publications

Maximize resource utilization based channel access model with presence of reactive jammer for underwater wireless sensor network

Maximize resource utilization based channel access model with presence of reactive jammer for underwater wireless sensor network

A Trust Update Mechanism Based on Reinforcement Learning in Underwater Acoustic Sensor Networks

A Secure Remote Mutual Authentication Scheme Based on Chaotic Map for Underwater Acoustic Networks

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