Atom search sunflower optimization for trust‐based routing in internet of things

Jadhav, Pramod; Joshi, Shashank

doi:10.1002/jnm.2845

Cited by 14 publications

(8 citation statements)

References 31 publications

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“…[ 36 ] proposes a trust aware secure routing protocol to resist these attacks, in which each node calculates the comprehensive trust value of its neighbors based on the direct trust, the indirect trust, the volatility factor, and the residual energy. Reference [ 37 ] proposes an atomic search sunflower optimization method to provide trust based routing. The method is designed by combining sunflower optimization with atomic search optimization and uses multiple trust factors to identify and isolate attacks and optimize network performance.…”

Section: Common Applications Of Trustmentioning

confidence: 99%

Review on Security Issues and Applications of Trust Mechanism in Wireless Sensor Networks

Xia

Wei

Zhang

2022

Computational Intelligence and Neuroscience

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The scale of wireless sensor networks changes depending on specific application tasks. How to design a relatively simple security mechanism that can extend with the expansion of network scale is an arduous task. As the wireless sensor network mostly adopts the decentralized organization form, once the network nodes are distributed adequately, it is difficult to find out the failure of any node. In addition, the node has weak resistance to physical damage, so any node in the network may potentially become a cause of security vulnerability. In this study, firstly, the security standards that wireless sensor networks should have and the current security challenges faced by the network are discussed in detail, and the importance of security issues in wireless sensor networks is pointed out. Secondly, this paper studies and analyzes the current situation of wireless sensor network security problems including the internal and external attacks and the active and passive attacks. Thirdly, this paper also discusses the significance, concept, and characteristics of reputation and trust, the division and composition of reputation and trust system, and the common applications of the reputation and trust mechanism in wireless sensor networks.

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Section: Common Applications Of Trustmentioning

confidence: 99%

Review on Security Issues and Applications of Trust Mechanism in Wireless Sensor Networks

Xia

Wei

Zhang

2022

Computational Intelligence and Neuroscience

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“…Such an application can be observed from [9], wherein cryptographic techniques are used for trust establishment. The trust levels for this model can be extended via use of optimization models like the one mentioned in [10], wherein Atom search sunflower optimization (ASSO) is used. The model can improve trust levels to 84.5% and obtain packet delivery ratio in the range of 90% to 95%; thus, can be used for high security and high privacy applications.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving Trust Levels in Wireless Networks Using Blockchain Powered Dempster Shaffer Route Optimization

Chhattisgarh¹

2022

ECS Trans.

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Improved node and network trust levels in wireless networks assist the network to have better security and quality of service (QoS) performance. Security performance is measured in terms of number of attacks detected and mitigated by the network, while QoS performance is measured in terms of end-to-end delay, communication throughput, energy requirement, and packet delivery ratio metrics. In order have good trust levels in the network, a wide variety of methods, including reputation evaluation, historical analysis, temporal network, and node analysis, are proposed by network researchers. Implementation of these algorithms increases computational complexity of the network, thereby increasing end-to-end delay during communication. During routing, repeated calculations of trust in the network further increases number of computational steps required for route selection. These added calculations improve network security but reduce overall QoS at node and network level. Moreover, if these calculations are simplified for reducing computational complexity, then QoS improves but network security is compromised. In order to maintain a high network QoS with sufficient level of security, this paper proposes a novel blockchain powered routing model that uses Dempster Shaffer (DS) route optimization. The model utilizes node-to-node distance, energy efficacy, and temporal packet forwarding capabilities in order to select the most efficient routing strategy. This strategy is combined with a proof-of-work (PoW) based blockchain solution that allows the network to have high trust levels. Due to decentralized processing, the network is able to have good QoS levels along with high security.

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“…Since then, the optimizer has been successfully applied in many different areas such as damage identification (Gomes & Simões, 2019; Gomes et al, 2020; Magacho et al, 2021; Gomes et al, 2020b; Gomes et al, 2020c), design optimization of isogrid tube (Francisco et al, 2021), heat pump solution for CHP system (Fan et al, 2020), IoT and Cloud tasks (Emami, 2021; Jadhav & Joshi, 2021), parameter identification of electrical photovoltaic model (Qais et al, 2019), battery state‐of‐charge estimation (El‐Sehiemy et al, 2020), enhancing the performance of an autonomous operation of a microgrid (Hussien et al, 2021), solving optimization problems (Duong & Nguyen, 2020) and many others.…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective sunflower optimization: A new hypercubic meta‐heuristic for constrained engineering problems

Pereira

Gomes

2023

Expert Systems

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In order to solve challenging engineering problems, the state‐of‐the‐art in multi‐objective optimization shows a trend toward using meta‐heuristics and a posteriori decision‐making methods. This encourages the search for algorithms better able to find Pareto fronts with more convergence, coverage, and lower computational cost. This work shows the creation and validation of the Multi‐objective Sunflower Optimization (MOSFO), a hypercubic and constrained multi‐objective meta‐heuristic inspired by the phototropic life cycle of sunflowers around the sun. Having a much simpler programming model than most evolutionary algorithms, MOSFO was validated using the most difficult set of test functions in the literature (CEC 2009) and applied to ten constrained multi‐objective optimization problems (CEC 2021). The proposed algorithm was compared with ten other powerful algorithms: MOGWO, MOPSO, NSGA‐II, MOEA/D, NSGA‐III, CCMO, ARMOEA, ToP, TiGE 2, and AnD. Inverted General Distance, Spacing, Maximum Spread, and Hyper volume were used as comparison metrics to evaluate the convergence and coverage capabilities of the algorithms. MOSFO had the best average IGD value in 8 of the 10 test functions when compared with the other algorithms. In terms of MS, MOSFO had the highest average value of MS for 7 of the test functions. In summary, MOSFO showed substantial convergence and coverage capabilities and proved to be very competitive among the algorithms used, which were carefully selected to be popular and recent. The method is even more promising for problems with three or more objectives.

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Atom search sunflower optimization for trust‐based routing in internet of things

Cited by 14 publications

References 31 publications

Review on Security Issues and Applications of Trust Mechanism in Wireless Sensor Networks

Review on Security Issues and Applications of Trust Mechanism in Wireless Sensor Networks

Improving Trust Levels in Wireless Networks Using Blockchain Powered Dempster Shaffer Route Optimization

Multi‐objective sunflower optimization: A new hypercubic meta‐heuristic for constrained engineering problems

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