A Privacy-Aware Approach for Managing the Energy of Cloud-Based IoT Resources Using an Improved Optimization Algorithm

Chen, Yu; Hao, Shengbin; Nazif, Habibeh

doi:10.1109/jiot.2021.3112474

Cited by 4 publications

(2 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Chen et al, [28] presented programming definitions of the referenced issues utilizing a Further developed Subterranean insect Settlement Advancement (IACO) calculation. The strategy was joined with another sort of nearby pursuit calculation to acquire better reactions.…”

Section: Privacy In Cloud-iotmentioning

confidence: 99%

A Novel Approach in Cloud based IoT Devices using Rough Set Method for Ensuring Security

M.R

Suganthi²

2022

Preprint

View full text Add to dashboard Cite

The quick development and reception of Internet of Things (IoT) innovations in areas of life are challenged by the assets compelled IoT gadgets. Be that as it may, because of the absence of adequate registering and capacity assets devoted to the handling and capacity of tremendous volumes of the IoT information, it will in general take on a cloud-based architecture to resolve the issues of resource limitations. Consequently, a progression of challenging security and privacy concerns have emerged in the cloud-based IoT context. In this paper, a novel structure for the security and privacy of cloud administrations is proposed. This structure essentially dependent on the working of a rough Set Method for guaranteeing security while information sharing in cloud IoT (RSM-CIoTD). The proposed RSM-CIoTD conspire guarantees secure communication between the user and cloud service provider (CSP) in a cloud based IoT. To manage unapproved users, a RSM-CIoTD conspire utilizes a registered authority (RA) which plays out a two-degree confirmation between the network substances before information sharing. The security and privacy appraisal technique utilizes minimum and maximum trust upsides of past communication. The experiments led utilizing an integrated dataset of security show that our proposed system can productively and safely store the cloud service while outperforming other security methods.

show abstract

Section: Privacy In Cloud-iotmentioning

confidence: 99%

A Novel Approach in Cloud based IoT Devices using Rough Set Method for Ensuring Security

M.R

Suganthi²

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Chen et al 26 presented programming solutions to the stated problems utilizing the improved ant colony optimization (IACO) technique. The approach was paired with a novel local search algorithm to produce higher‐quality results.…”

Section: Related Workmentioning

confidence: 99%

An energy‐aware resource management method in cloud‐based Internet of Things using a multi‐objective algorithm and crowding distance

Mohammed

2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Internet of Things (IoT) is predicted to permeate all areas of the physical world, particularly homes and urban settings, in the next years. Cloud‐based IoT is a network of things that can be managed and inspected to create various intelligent systems over the internet. The primary technological difficulty in service computing is swiftly integrating diverse services to serve cross‐organizational business activities. It is one of the famous NP‐hard problems; therefore, this study proposes a novel service composition technique termed multiobjective particle swarm optimization and crowding distance (MOPSO‐CD) approach to solve this problem. The main issue with the MOPSO method is that the search is conducted very quickly, resulting in an incorrect response. To address this issue, we integrate MOPSO with the CD approach to provide an efficient composition service in cloud‐based IoT. The proposed method is simulated using Matlab, and the performance is compared against the performance of three other multi‐objective algorithms. The findings revealed that the proposed method outperforms different algorithms regarding availability, reliability, response time, latency, and energy consumption.

show abstract

Enhancing resource utilization and privacy in IoT data placement through fuzzy logic and PSO optimization

Dhanushkodi,

Kumar,

Mittal

et al. 2024

Cluster Comput

View full text Add to dashboard Cite

A Privacy-Aware Approach for Managing the Energy of Cloud-Based IoT Resources Using an Improved Optimization Algorithm

Cited by 4 publications

References 48 publications

A Novel Approach in Cloud based IoT Devices using Rough Set Method for Ensuring Security

A Novel Approach in Cloud based IoT Devices using Rough Set Method for Ensuring Security

An energy‐aware resource management method in cloud‐based Internet of Things using a multi‐objective algorithm and crowding distance

Enhancing resource utilization and privacy in IoT data placement through fuzzy logic and PSO optimization

Contact Info

Product

Resources

About