Enhanced key establishment technique for secure data access in cloud

Reddy, V. Vijaya Bhaskara; Prakash, G.

doi:10.1109/icict46931.2019.8977720

Cited by 8 publications

(7 citation statements)

References 7 publications

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“…Dolphin can change the attack style of the prey school, some prey is attacked and some may be injured then the density of prey could reduce overtime. Then the density is determined as below in Equation (15).…”

Section: Maximum Trust Valuementioning

confidence: 99%

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Dolphin echolocation optimized sailfish algorithm for energy efficient and secured routing based on trust management in ZigBee wireless sensor network

Kumar

Babu

2022

Trans Emerging Tel Tech

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Security is the vital phenomenon of wireless sensor network (WSN) to preserve the energy. Traditional techniques does not concern the security of routing purpose, it has limitation like low energy resource, unsecure communication channel. In this article, a dolphin echolocation optimized sailfish (DESF) algorithm for energy efficient (EE) and secured routing based on trust management in ZigBee WSN is proposed. The proposed method is combination of enhanced shortcut tree routing based dolphin echolocation sailfish (EOSTR) and DESF, hence it is called EOSTR-DESF. Here, hybrid DESF with enhanced routing technique is used to select the optimal route. The proposed approach is implemented in NS2 and the performance of the proposed collaborative trust and tree routing based on DESF in ZigBee is compared with the existing approaches like particle swarm optimization-ant colony optimization, firefly algorithm-Hirschberg Sinclair, and whale optimization algorithm-simulated annealing algorithm. Moreover, the performance is analyzed with metrics like delay, packet delivery ratio, energy consumption, throughput, and residual energy. The simulation results demonstrate that the proposed method is more efficient with varying nodes of 33.25%, 20.17%, 8.04% for different data transfer rate of 31.36%, 15.62%, 9.10%.

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Section: Maximum Trust Valuementioning

confidence: 99%

“…Various routing protocol 14,15 is utilized to transfer data from one station to other with low energy. The existing routing algorithm should concentrate either energy efficient (EE) routing or trust based routing for better transmission.…”

Section: Introductionmentioning

confidence: 99%

Dolphin echolocation optimized sailfish algorithm for energy efficient and secured routing based on trust management in ZigBee wireless sensor network

Kumar

Babu

2022

Trans Emerging Tel Tech

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“…The overall performance of the network is affected by an end-to-end delay. Various techniques, like firefly algorithm (FA), [8][9][10] particle swarm optimization (PSO), and colony optimization (ACO) are implemented to the clustering process. [11][12][13] Here, only the energy conservation problem is addressed and fails to consider the end-to-end delay.…”

Section: Introductionmentioning

confidence: 99%

Energy efficient and delay aware clustering in mobile adhoc network: A hybrid fruit fly optimization algorithm and whale optimization algorithm approach

Saminathan¹,

Renukadevi²

2022

Concurrency and Computation

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The energy efficient and delay are the two important optimization issues in the mobile adhoc network (MANET), where the nodes move randomly at any direction with limited battery life, resulting in occasional change of network topology. In this article, a hybrid fruit fly optimization algorithm and whale optimization algorithm (FOA-WOA) is proposed for energy efficient with delay aware cluster head (CH) selection. The major objective of the proposed method is "to solve the problems of energy efficient with delay and develop a clustering mechanism". The performance of the hybrid FOA-WOA is evaluated based on packet delivery ratio (PDR), delay, energy consumption, and throughput. Moreover, the proposed method is analyzed with two existing algorithms, like ant colony optimization (ACO) and genetic algorithm (GA). The experimental results show that the proposed method attains 11.6% better than ACO and 1.8% better than GA based on packet delivery ratio, 57.6% better than ACO and 27.3% better than GA based on delay and 15.3% better than ACO and 36.4% better than GA based on energy consumption.

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“…The CT and MRI scanners are generally used, because they revolve around 360 degrees obtain an accurate Region of interest (ROI) from each slice of the medical images 17,18 . Medical images are captured by means of acquisition systems, like magnetic radio waves and crystal sensors, which are used for the indistinguishable arrangement of the human body 19,20 . These acquisition systems generate 2D matrices, which is very intricate.…”

Section: Introductionmentioning

confidence: 99%

An affinity propagated clustering aided computerized Inherent Seeded Region Growing and Deep learned Marching Cubes Algorithm (ISRG‐DMCA) based three dimensional image reconstruction approach

Joseph

Dennisan

2022

Int J Imaging Syst Tech

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In this manuscript, the novel three dimensional (3D) image reconstruction approach based on affinity propagated clustering aided computerized Inherent Seeded Region Growing and Deep learned Marching Cubes Algorithm (ISRG-DMCA) is proposed. The major purpose of this manuscript is to divide the brain tumor based on Shapelets. Here, the information about the shape/depth that can be obtained in every two dimensional (2D) image on the image stack is handled to acquire a 3D reconstruction, which provides high accurate 3D view of tumor Region of Interest (ROI). Then, the 3D model is rendered with the help of the proposed Deep learned Marching Cubes Algorithm (Deep MCA) at 3D reconstruction technique. The performance of the proposed method is executed in MATLAB. The simulation results show that the proposed ISRG-DMCA algorithm attains a higher detection rate 14.117%, 5.435%, higher accuracy rate 9.556%, 26.41% and lower execution time 66.667%, 75%, compared with the existing methods, like Improved Marching Cubes Algorithm (IMCA), Improved CNN-CRF method, respectively. In the proposed ISRG-DMCA method, the volume of the tumor has a length of 2.56 mm. Finally, the simulation outcomes demonstrate that the proposed ISRG-DMCA method can be able to find the optimal solutions efficiently and accurately.

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Enhanced key establishment technique for secure data access in cloud

Cited by 8 publications

References 7 publications

Dolphin echolocation optimized sailfish algorithm for energy efficient and secured routing based on trust management in ZigBee wireless sensor network

Dolphin echolocation optimized sailfish algorithm for energy efficient and secured routing based on trust management in ZigBee wireless sensor network

Energy efficient and delay aware clustering in mobile adhoc network: A hybrid fruit fly optimization algorithm and whale optimization algorithm approach

An affinity propagated clustering aided computerized Inherent Seeded Region Growing and Deep learned Marching Cubes Algorithm (ISRG‐DMCA) based three dimensional image reconstruction approach

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