Secured transmission using trust strategy-based dynamic Bayesian game in underwater acoustic sensor networks

Muthukkumar, Rajendran; Duraisamy, Manimegalai

doi:10.1007/s12652-020-02418-9

Cited by 11 publications

(7 citation statements)

References 45 publications

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“…To demarcate event boundaries under adversarial conditions, a secure detection methodology has been proposed within this paradigm. Despite the ubiquity of malicious nodes within WSNs, their impact is frequently underestimated or insufficiently addressed [22]. Should malicious nodes generate spurious measurements that deviate from the prescribed fault model, the realized performance may be compromised.…”

Section: Cryptography In Wsnmentioning

confidence: 99%

Digital Incontrovertible Multi Level Key Set Based Node Authentication Model for Malicious Node Detection for Secure Data Transmission in WSN

Murli Krishna Reddy,

Sathya,

Lakshmi

2023

IJSSE

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Wireless sensor networks (WSNs) present a paradigm that is both innovative and complex, characterized by their autonomous operation and the deployment of diminutive, resource-constrained sensor nodes. Despite the promising prospects offered by their unique features, WSNs are inherently more susceptible to security threats compared to conventional networks, primarily due to their operational environment and reliance on wireless communication. The vulnerability of nodes to physical attacks is exacerbated by the typical deployment strategies and the intrinsic limitations of radio connections. Due to the resource-scarce nature of sensor nodes, which are often situated in adversarial settings, security measures are particularly challenging to implement. These nodes are generally equipped with limited energy, computational power, and communication capabilities, imposing significant constraints on the safeguarding of WSNs without compromising network efficiency. The identification and isolation of compromised nodes are critical to prevent adversaries from disseminating false data throughout the network. However, securing networks with a flat topology poses considerable difficulties, including limited adaptability and excessive communication overheads. Traditional security methods, which typically entail substantial overhead and computational requirements, are not viable in such resource-constrained environments. Authentication emerges as a critical security measure, serving as a means to discern authentic, forged, or altered messages. This study introduces a novel Digital Incontrovertible Multi-Level Key Set based Node Authentication Model (DIMLKS-NA-MND) that leverages cryptographic principles to enhance data transmission security in WSNs. Comparative analyses demonstrate that the proposed model outperforms existing models in securing data transmissions.

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Section: Cryptography In Wsnmentioning

confidence: 99%

Digital Incontrovertible Multi Level Key Set Based Node Authentication Model for Malicious Node Detection for Secure Data Transmission in WSN

Murli Krishna Reddy,

Sathya,

Lakshmi

2023

IJSSE

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“…In addition, selecting the cluster head as a trust manager seems unreliable due to its short life span. In [25], authors state that an unreliable environment causes high packet drop that affects the communication rate. Therefore, they propose a trust strategy based on a dynamic Bayesian game to address the existing problems.…”

Section: Literature Reviewmentioning

confidence: 99%

Blockchain Based Privacy Preserving Authentication and Malicious Node Detection in Internet of Underwater Things (IoUT) Networks

et al. 2022

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Internet of Underwater Things (IoUT) Networks are used to sense different aquatic parameters like temperature, pressure, pollution, etc. They are also used to forecast the ocean's weather to collect information about natural disasters. However, they are easily compromised by attackers due to deployment in unattended environments. To overcome these issues, security is required in IoUT networks to avoid unauthorized access and ensure network credibility. This work proposes an authentication and a malicious node detection mechanism to restrict the unauthorized external nodes from accessing the network and the internal nodes from acting maliciously, respectively. Moreover, blockchain stores the hashes of sensor nodes' credentials during the registration process to make the system secure and traceable. Meanwhile, a weighted trust evaluation mechanism is implemented for data aggregation and detection of malicious nodes. Moreover, an additive increase multiplicative decrease algorithm puts malicious nodes in an intensive observation queue to verify the data of malicious nodes before aggregating. Moreover, weights are assigned to sensor nodes based on their behaviour. If the weight of a sensor node becomes zero, it is revoked by the blockchain. The simulation results show the efficiency of our proposed malicious node detection mechanism in terms of energy consumption and propagation delay.

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“…Muthukkumar et al [21] presented dynamic Bayesian game based on trust strategy for secure data transmission in underwater acoustic sensor networks. The author introduced the trust strategy based dynamic Bayesian game (TSDBG) technique to identify the secure path among the nodes in the underwater acoustic sensor networks.…”

Section: Classical Approachesmentioning

confidence: 99%

Secured Route Selection Using E-ACO in Underwater Wireless Sensor Networks

Deepak¹,

Mukeshkrishnan²

2022

Intelligent Automation &Amp; Soft Computing

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Secured transmission using trust strategy-based dynamic Bayesian game in underwater acoustic sensor networks

Cited by 11 publications

References 45 publications

Digital Incontrovertible Multi Level Key Set Based Node Authentication Model for Malicious Node Detection for Secure Data Transmission in WSN

Digital Incontrovertible Multi Level Key Set Based Node Authentication Model for Malicious Node Detection for Secure Data Transmission in WSN

Blockchain Based Privacy Preserving Authentication and Malicious Node Detection in Internet of Underwater Things (IoUT) Networks

Secured Route Selection Using E-ACO in Underwater Wireless Sensor Networks

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