Empowered service delegation with attribute encryption for distributed cloud computing

Aravinth, S. S.; Ramkumar, Mahalingam; Rajkumar, B.; Anitha, M.; Elangodi, S.

doi:10.1109/icctet.2013.6675922

Cited by 2 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A smart IoT device is designed for real-time application using blynk and a wireless sensor network. is smart IoT device has been used to collect the data and transmission into the cloud [24].…”

Section: Literature Reviewmentioning

confidence: 99%

Energy-Efficient Clustering and Routing Algorithm Using Hybrid Fuzzy with Grey Wolf Optimization in Wireless Sensor Networks

Singh

Deepika²,

Din

et al. 2022

Security and Communication Networks

View full text Add to dashboard Cite

Wireless networking is popular due to the “3 any” concept: anyone, anytime, anywhere. Wireless communication technology advancements have covered the opportunities for sustainable development of low-power, low-cost, multipurpose sensor nodes in wireless sensor networks. In sensor networks, the network layer handles routing problems. Since radio transmission requires a significant amount of energy, it is essential to investigate power efficiency and optimization. As a result, the conservation of energy is a critical concern in wireless sensor networks. Recent research is focused on developing routing algorithms that use less amount of energy during communication, thereby prolonging the network’s life. Wireless sensor networks with energy recovery nodes use nodes that can extract energy from their environment. The fuzzy-GWO method and the energy-saving routing algorithm are proposed and analyzed in this research work. For simulation, the MATLAB 2021b working environment is used. The LEACH, HEED, MBC, FRLDG protocols, along with the proposed protocol F-GWO, are compared. From the obtained results, it is found that the network lifetime is increased by 20%, 14.8%, 12.5%, and 3.8%, respectively. In addition, the proposed method has a 37.5%, 33.3%, 16.6%, and 6.25% reduction in average energy consumption when compared with the conventional algorithms. According to the experimental data obtained through simulation, the proposed F-GWO algorithm outperforms the LEACH, HEED, MBC, and FRLDG in network lifetime, packet delivery ratio, throughput, bit error rate (BER), buffer occupancy, time analysis, and end-to-end delay.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Energy-Efficient Clustering and Routing Algorithm Using Hybrid Fuzzy with Grey Wolf Optimization in Wireless Sensor Networks

Singh

Deepika²,

Din

et al. 2022

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…HASBE was first proposed by Hephzi Rachel and Prathiba [27] that combines the features of ASBE and HIBE. In HASBE, each data consumer or data owner is managed by a domain authority [28] . There are five types of party that can participate in the system: data owner, data consumer, domain authority, parent/trusted authority, and cloud service provider.…”

Section: Hierarchical Attribute-set-based Encryption (Hasbe)mentioning

confidence: 99%

Analysis of classical encryption techniques in cloud computing

Shabir¹,

Iqbal²,

Mahmood

et al. 2016

Tinshhua Sci. Technol.

View full text Add to dashboard Cite

Cloud computing has become a significant computing model in the IT industry. In this emerging model, computing resources such as software, hardware, networking, and storage can be accessed anywhere in the world on a pay-per-use basis. However, storing sensitive data on un-trusted servers is a challenging issue for this model. To guarantee confidentiality and proper access control of outsourced sensitive data, classical encryption techniques are used. However, such access control schemes are not feasible in cloud computing because of their lack of flexibility, scalability, and fine-grained access control. Instead, Attribute-Based Encryption (ABE) techniques are used in the cloud. This paper extensively surveys all ABE schemes and creates a comparison table for the key criteria for these schemes in cloud applications.

show abstract

Empowered service delegation with attribute encryption for distributed cloud computing

Cited by 2 publications

References 8 publications

Energy-Efficient Clustering and Routing Algorithm Using Hybrid Fuzzy with Grey Wolf Optimization in Wireless Sensor Networks

Energy-Efficient Clustering and Routing Algorithm Using Hybrid Fuzzy with Grey Wolf Optimization in Wireless Sensor Networks

Analysis of classical encryption techniques in cloud computing

Contact Info

Product

Resources

About