A Survey on Secure Routing Protocols in Wireless Sensor Networks

Arfat, Yasir Ali; Shaikh, Riaz Ahmed

doi:10.5815/ijwmt.2016.03.02

Cited by 17 publications

(14 citation statements)

References 14 publications

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“…One advantage of fuzzy reasoning is that it is well-suited for very complicated systems whose actions are difficult to deduce. Additionally, the authors in [22] introduced a lightweight, low-energy adaptive hierarchy clustering technique for detecting suspicious node-to-node interactions.…”

Section: Related Workmentioning

confidence: 99%

Wireless Sensor Networks Routing Attacks Prevention with Blockchain and Deep Neural Network

Ali¹,

El-Moghith²,

El-Derini³

et al. 2022

Computers, Materials &Amp; Continua

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Routing is a key function in Wireless Sensor Networks (WSNs) since it facilitates data transfer to base stations. Routing attacks have the potential to destroy and degrade the functionality of WSNs. A trustworthy routing system is essential for routing security and WSN efficiency. Numerous methods have been implemented to build trust between routing nodes, including the use of cryptographic methods and centralized routing. Nonetheless, the majority of routing techniques are unworkable in reality due to the difficulty of properly identifying untrusted routing node activities. At the moment, there is no effective way to avoid malicious node attacks. As a consequence of these concerns, this paper proposes a trusted routing technique that combines blockchain infrastructure, deep neural networks, and Markov Decision Processes (MDPs) to improve the security and efficiency of WSN routing. To authenticate the transmission process, the suggested methodology makes use of a Proof of Authority (PoA) mechanism inside the blockchain network. The validation group required for proofing is chosen using a deep learning approach that prioritizes each node's characteristics. MDPs are then utilized to determine the suitable next-hop as a forwarding node capable of securely transmitting messages. According to testing data, our routing system outperforms current routing algorithms in a 50% malicious node routing scenario.

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Section: Related Workmentioning

confidence: 99%

Wireless Sensor Networks Routing Attacks Prevention with Blockchain and Deep Neural Network

Ali¹,

El-Moghith²,

El-Derini³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…One advantage of fuzzy reasoning is that it is wellsuited for very complicated systems whose actions are difficult to deduce. Additionally, the authors in [21] introduced a lightweight, low-energy adaptive hierarchy clustering technique for detecting suspicious node-to-node interactions.…”

Section: B Related Workmentioning

confidence: 99%

Towards Designing a Trusted Routing Scheme in Wireless Sensor Networks: A New Deep Blockchain Approach

And

Darwish

2021

IEEE Access

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Routing is a critical process in Wireless Sensor Networks (WSNs) since it is responsible for data transmission to base stations. Routing attacks are capable of completely destroying and degrading the function of WSNs. A trustworthy routing system is critical for ensuring routing security and WSN efficiency. Numerous studies have been conducted to increase trust between routing nodes, including cryptographic techniques, and centralized routing decisions. Nonetheless, the majority of routing methods are impractical in practice, since it is difficult to identify untrusted activities of routing nodes effectively. Meanwhile, there is no efficient method of preventing malicious node attacks. As a result of these issues, this article offers a trusted routing method that combines deep-chain and Markov Decision Processes (MDPs) in order to enhance the routing security and efficiency of WSNs. To authenticate the process of transmitting the node, the proposed approach utilizes a Proof of Authority (PoA) method inside the blockchain network. The validation group necessary for proofing is selected using a deep learning methodology that focuses on the properties of each node. MDPs are then used to choose the appropriate next hop as a forwarding node capable of transferring messages simply and securely. According to testing data, our routing system still performs well in a 50% malicious node routing environment when compared to existing routing algorithms.

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“…This survey gives the brief study of various protocols and stack used for communication [11][12][13].…”

Section: B Protocolsmentioning

confidence: 99%

Inter Integrated WSN for Crude Oil Pipeline Monitoring

Bhavyarani¹,

Swamy²,

Jain³

2018

IJCNIS

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An inter-integrated system for crude oil pipeline using Wireless Sensor Network is designed for an incessant monitoring and communication in the desert for a span of 1350 Km from pumping station to harbor stockpiling tanks with 135 distributed control system stations. The proposed wireless sensor network equipment is used to scan the sensor status installed in the pipeline and send the required information utilizing dedicated low bandwidth with Quality of Service level three secured Message Queuing Telemetry Transport. This system generates energy on its own by using the solar panel and stores it in battery banks. Low power controller with Wi-Fi developed by Texas Instruments has been utilized to design a working prototype.

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A Survey on Secure Routing Protocols in Wireless Sensor Networks

Cited by 17 publications

References 14 publications

Wireless Sensor Networks Routing Attacks Prevention with Blockchain and Deep Neural Network

Wireless Sensor Networks Routing Attacks Prevention with Blockchain and Deep Neural Network

Towards Designing a Trusted Routing Scheme in Wireless Sensor Networks: A New Deep Blockchain Approach

Inter Integrated WSN for Crude Oil Pipeline Monitoring

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