Trust based secure routing protocol using fuzzy logic in wireless sensor networks

Wireless sensor networks (WSN) are the new speed-accelerating technologies worldwide and are used continuously in a range of critical applications. Any damage or compromise to data security could have physical and direct effects on network efficiency and safety. One of the active areas of research is key management, authentication, and trust management in wireless sensor networks (WSN). Since researchers have provided many protection schemes, it is difficult to select which key management or trust management schemes in a specific WSN application suit best. We did a detailed survey in our paper on how the properties of various trust management, authentication, and key management schemes can be used for specific applications. Based on this review, we present the methodologies, advantages, and limitations of the previously proposed key management, authentication, and trust management scheme in WSN. The goal of this thorough analysis is to compare and find the correct security solution that successfully meets the requirements of the application. Moreover, the strength, weaknesses, and open problems are added that can extend more frontiers to get the best security solutions in the future.s

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“…So it is beneficial for dynamic environments. Renubala et al [83] proposed a trust scheme that calculates trust using a fuzzy approach.…”

Section: Distributed Trust Managementmentioning

confidence: 99%

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

Gautam

Kumar

2021

SN Appl. Sci.

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“…The trust of the nodes is premeditated by N. S. Renubala and K.S.Dhanalakshmi, they aimed scheme utilizes the Bio-inspired Energy Efficient-Cluster (BEE-C) protocol and fuzzy logic [14]. The black hole and flooding attack discovered by suggested practice and it also banishes this assault.…”

Section: Related Workmentioning

confidence: 99%

Improving IF Algorithm for Data Aggregation Techniques in Wireless Sensor Networks

Ingle

Rao

2018

IJECE

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In Wireless Sensor Network (WSN), fact from different sensor nodes is collected at assembling node, which is typically complete via modest procedures such as averaging as inadequate computational power and energy resources. Though such collections is identified to be extremely susceptible to node compromising attacks. These approaches are extremely prone to attacks as WSN are typically lacking interfere resilient hardware. Thus, purpose of veracity of facts and prestige of sensor nodes is critical for wireless sensor networks. Therefore, imminent gatherer nodes will be proficient of accomplishment additional cultivated data aggregation algorithms, so creating WSN little unresisting, as the performance of actual low power processors affectedly increases. Iterative filtering algorithms embrace inordinate capacity for such a resolution. The way of allocated the matching mass elements to information delivered by each source, such iterative algorithms concurrently assemble facts from several roots and deliver entrust valuation of these roots. Though suggestively extra substantial against collusion attacks beside the modest averaging techniques, are quiet vulnerable to a different cultivated attack familiarize. The existing literature is surveyed in this paper to have a study of iterative filtering techniques and a detailed comparison is provided. At the end of this paper new technique of improved iterative filtering is proposed with the help of literature survey and drawbacks found in the literature.

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“…This helps us to avoid black hole and flooding attacks. [1]. Most of the Wireless Sensor Networks (WSNs) applications are battery powered.…”

Section: Related Workmentioning

confidence: 99%

A secure dynamic adaptive routing technique using game theory in wireless sensor network

Muruganandam

Anitha²

2018

IJET

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A Wireless Sensor Network (WSNs) is popular developing the field in industrial and other major markets. Wireless data security is the central theme in the WSNs application where security of transmitted data is more concerned. Due to the significant concentration of energy efficiency and performance analysis in WSN, providing secured communication is a challenging issue. To overcome this interdependent problem Game theory can be used. Game theory is applied here to select different routes to transfer the data from source to destination. The performance of the WSNs can be increased by providing security for transmitted data. The graph for throughput, end to end delay, delivery, and packet loss ratio are generated using NS2 simulation tool.

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Trust based secure routing protocol using fuzzy logic in wireless sensor networks

Cited by 19 publications

References 7 publications

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

Improving IF Algorithm for Data Aggregation Techniques in Wireless Sensor Networks

A secure dynamic adaptive routing technique using game theory in wireless sensor network

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