Secure energy aware routing protocol for trust management using enhanced Dempster Shafer evidence model in multi-hop UWAN

Mahapatra, Surya Narayan; Singh, Binod Kumar; Kumar, Vinay

doi:10.1007/s11276-022-03021-w

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…After finding the sink node and routing path in the cluster through the routing protocol, CT-EDS-BBO evaluated node trust degree using DST. Bidirectional Butterfly Optimization algorithm could find the best route to transmit data and reduce energy loss [44]. Kashani et al proposed a protocol based on DST and opportunity route (DSTOR).…”

Section: B Dst-based Trust Decisionmentioning

confidence: 99%

Trust Evaluation and Decision Based on D-S Evidence Theory: Early Models and Future Perspectives

et al. 2023

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Due to the technical characteristics and application scenarios of distributed networks, their nodes can easily be invaded and compromised. It will result in information being forged or tampered without difficulty. An effective scheme to guarantee the authenticity and integrity of information is judging how trustworthy nodes are in terms of transmission. In D-S evidence theory (DST), the uncertainty can be expressed to solve the trust fusion issue for multiple nodes. In this paper, for reviewing the DST-based trust evaluation and decision and providing their future research directions systematically. Meanwhile, the DST is briefly reviewed, and two improvements in DST are categorically described. The role and mechanism in DST-based trust models are compared and analyzed. The valuable research directions in the near future are represented. Our contributions could solve the trust problem in resource constrained sensor nodes and improve the decision reliability of network.INDEX TERMS D-S evidence theory, distributed network, trust model.

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Section: B Dst-based Trust Decisionmentioning

confidence: 99%

Trust Evaluation and Decision Based on D-S Evidence Theory: Early Models and Future Perspectives

et al. 2023

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“…A model called eq(2) can be used to calculate the overall energy needed to send a packet of length l over a distance d. (5) Similar to this, the overall energy used to transport the data stream by eq (6) 𝐸 𝑠𝑚2𝑎𝑔 = ∑ 𝑛∈𝒩,𝑖∈ℐ 𝑦 𝑛,𝑖 (∑ 𝑘∈𝒦 𝐸 𝑛,𝑖,𝑘 ′′ ) (6) The total amount of energy used to send the data packets through eq (7) 𝐸 𝑠𝑚 = 𝐸 𝑠𝑚2𝑏𝑠 + 𝐸 𝑠𝑚2𝑎𝑔 (7) If the entropy fulfils 𝑒…”

Section: Energy Aware Lagrangian Multipliers Based Optimal Data Trans...mentioning

confidence: 99%

“…Many cutting-edge devices are integrated into automatic vehicles, improving navigation through route maps and radio frequency characteristics. Automatic cars still carry a significant danger of being attacked and have the potential to do so with any technology installed in them [6]. The contribution of this research is as follows:…”

Section: Introductionmentioning

confidence: 99%

Cyber-Attack Detection in Autonomous Vehicle Networks by Energy Aware Optimal Data Transmission with Game Fuzzy Q-Learning based Heuristic Routing Protocol

Faris

2022

ijfrcsce

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The automotive sector has seen a dramatic transition due to rapid technological advancement. Network connection has improved, enabling the transfer of the cars' technologies from being fully machine- to software-controlled. Controller area network (CAN) bus protocol manages network for autonomous vehicles. However, due to the intricacy of data and traffic patterns that facilitate unauthorised access to a can bus and many sorts of assaults, the autonomous vehicle network still has security flaws as well as vulnerabilities. This research proposes novel technique in cyber attack detection in autonomous vehicle networks enhanced data transmission based optimization and routing technique. Here the autonomous vehicle network optimal data transmission has been carried out using energy aware lagrangian multipliers based optimal data transmission. The cyber attack detection has been carried out using fuzzy q-learning based heuristic routing protocol. The experimental results has been carried out based on optimal data transmission and attack detection in terms of throughput of 95%, PDR of 94%, End-end delay of 46%, energy efficiency of 96%, network lifetime of 95%, attack detection rate of 88%.

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DESLR: Energy-efficient and secure layered routing based on channel-aware trust model for UASNs

et al. 2023

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Secure energy aware routing protocol for trust management using enhanced Dempster Shafer evidence model in multi-hop UWAN

Cited by 7 publications

References 29 publications

Trust Evaluation and Decision Based on D-S Evidence Theory: Early Models and Future Perspectives

Trust Evaluation and Decision Based on D-S Evidence Theory: Early Models and Future Perspectives

Cyber-Attack Detection in Autonomous Vehicle Networks by Energy Aware Optimal Data Transmission with Game Fuzzy Q-Learning based Heuristic Routing Protocol

DESLR: Energy-efficient and secure layered routing based on channel-aware trust model for UASNs

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