Volume 18, No. 6, 2021
OSNQSC: Optimized Selection Of Nodes For Enhanced Qos In Cloud Environment
Jeevitha B K , Thriveni J , and Venugopal K R
Abstract
For a cloud to be secure, all of the participating entities must be secure. The security of the cloud resources does not solely depend on an individual’s security measures. The neighbouring entities may provide an opportunity to an attacker to bypass the user’s defences. The data may compromise due to attacks by other users and nodes within the cloud. Therefore, high-security measures are required to protect data within the cloud. Cloud sim allows the creation of a network that contains a set of Intelligent Sense Point (ISP) spread across an area. Each ISPs will have its own unique position and will be different from other ISPs. Cloud is a cost-efficient solution for the distribution of data but has the challenge of a data breach. The data can be compromised of attacks of ISPs. This paper proposes an optimized method to find the best ISPs to place the data fragments that considers the channel quality and remaining energy of the ISPs. The fragments are encrypted before storing them. The proposed method is compared with the existing Betweenness centrality, Eccentricity and Closeness centrality methods of DROPS (Division and Replication of Data in the Cloud for Optimal Performance and Security) in terms of time, storage, throughput and energy consumption of the ISP.
Pages: 4546-4566
Keywords: Centrality Measures, Data Fragments, Intelligent Sense Point, Optimized Method, T-Colouring.