Data validation and integrity verification for trust based data aggregation protocol in WSN

D, Anita Daniel.; Roslin, S. Emalda

doi:10.1016/j.micpro.2020.103354

Cited by 12 publications

(4 citation statements)

References 7 publications

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“…This protocol uses the trust value, which is calculated for each node based on the trust attributes. [11] In WSN, safe data aggregation increased interest in the scientific field. Data aggregation is necessary for efficiently using constrained sensor node resources.…”

Section: Related Workmentioning

confidence: 99%

Survey on Various Aspects of Clustering in Wireless Sensor Networks Employing Classical, Optimization, and Machine Learning Techniques

Gunjal

Kulkarni

2023

IJRITCC

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A wide range of academic scholars, engineers, scientific and technology communities are interested in energy utilization of Wireless Sensor Networks (WSNs). Their extensive research is going on in areas like scalability, coverage, energy efficiency, data communication, connection, load balancing, security, reliability and network lifespan. Individual researchers are searching for affordable methods to enhance the solutions to existing problems that show unique techniques, protocols, concepts, and algorithms in the wanted domain. Review studies typically offer complete, simple access or a solution to these problems. Taking into account this motivating factor and the effect of clustering on the decline of energy, this article focuses on clustering techniques using various wireless sensor networks aspects. The important contribution of this paper is to give a succinct overview of clustering.

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Section: Related Workmentioning

confidence: 99%

Survey on Various Aspects of Clustering in Wireless Sensor Networks Employing Classical, Optimization, and Machine Learning Techniques

Gunjal

Kulkarni

2023

IJRITCC

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“…In conclusion, the WSN trust model has developed into a very promising security mechanism [14], [15], [16] and [17] that can be used in conjunction with various node trust calculation techniques and trust aggregation algorithms to enhance the security and reliability of node data information against the security threats posed by attacks on network nodes. It is important to take into account a reputation mechanism's scalability, dependability, and security in light of the unique application environment and network characteristics.…”

Section: Related Workmentioning

confidence: 99%

Secure data convergence based on trust management and clustered routing

yu,

wang,

liu

2023

Preprint

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Wireless sensor networks are not only used for environmental monitoring, medical research, and industrial production, but also increasingly focused on security. While traditional key security mechanisms can withstand external network attacks, they are unable to resist internal network attacks after a node has been compromised by an enemy. To address this issue, the TMSDF algorithm is proposed in this paper, which improves the trust value calculation through adjustments to the adjustment function, penalty function, and node connection degree in the direct and indirect trust. The algorithm also utilizes a dynamic balance weight factor to adjust the direct and indirect trust in the calculation of the integrated trust value. In network deployment using the leach clustering routing method, the trust value and residual energy are integrated into the cluster head election process. The cluster head is responsible for managing trust and electing the fusion node, which performs data fusion to balance the network's energy. Simulation results demonstrate that the proposed method can identify internal attacks by malicious nodes, resist manipulation by malicious nodes, and perform safe data fusion.

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“…Various network attacks, such as DoS (denial of service), an analysis of possible strategies that could prevent such occurrences, along with introducing experimental modeling, could illustrate the feasibility of trust management as part of a future decision support system [62]. Research proves that a trust-based DA (data aggregation) protocol using data validation and integrity verification in WSN increases data correctness [63]. A distributed data storage protocol, such as ProFlex, should guarantee robustness in data collection [64].…”

Section: Points Of Failurementioning

confidence: 99%

Achieving High Reliability in Data Acquisition

et al. 2021

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An urban environment defines a specific micro-climate which directly affects the quality of life in urbanized areas and often has a negative impact on urban populations. Phenomena like urban heat and surface heat islands are direct products of an urban lifestyle. Urban meteorological networks (UMNs) are a tool that can help to better understand and analyze the current situation and make the right decisions about future urban development. Deployed to monitor and record different objects and their states inside urban areas, UMNs build a long-term meteorological data time series database. The most commonly used systems for achieving this goal include wireless sensor networks (WSNs). This paper presents a combined experience in deploying three different WSN systems. During seven years of research in this field, the authors have recognized the importance of data reliability in data acquisition. More importantly, due to the lack of research addressing the reliability of the data received from WSNs by the core segment of the server (processes used in receiving, validating, parsing, and storing data into a database instance), the received data are used in scientific studies without questioning their reliability. To determine the possibility of shifting information provided by the data measured from sensor networks before it is stored in a desired form of database, this paper proposes a highly reliable socket server model. The model is built with high reliability and performance in mind and it includes three major processes, which use a combination of signals and control messages to pass information about their states. A case study is performed using high-end hardware, running a Linux operating system stressed to its limits. Repetition testing revealed inconsistency in the information provided by the operating system to the application layer, which could lead to the loss of information about short-term and rarely occurring monitored objects. The results lead to the conclusion that there is a clear need for a higher level of data reliability in the process of data acquisition by UMNs. The proposed socket server should fill this gap within the server’s core segment.

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Data validation and integrity verification for trust based data aggregation protocol in WSN

Cited by 12 publications

References 7 publications

Survey on Various Aspects of Clustering in Wireless Sensor Networks Employing Classical, Optimization, and Machine Learning Techniques

Survey on Various Aspects of Clustering in Wireless Sensor Networks Employing Classical, Optimization, and Machine Learning Techniques

Secure data convergence based on trust management and clustered routing

Achieving High Reliability in Data Acquisition

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