Exploring Cloud Computing Security Challenges Through an enhanced Prototype Model

Cloud computing is a model that enables convenient, on-demand network access to a shared pool of configurable computing resources, such as networks, servers, storage, applications, and services.. However, cloud computing faces several challenges, particularly in the areas of traffic management, security, and resource allocation. To enhance security in the cloud, various approaches can be employed at different levels, such as securing data, networks, and storage. One promising approach is the use of homomorphic encryption, which allows operations to be performed on encrypted data without requiring decryption or access to the private key.. When the encrypted result of an operation is decrypted, it yields the same outcome as if the operation had been performed on the raw data. This method significantly improves data security as it excludes the cloud provider from key management. Additionally, We propose incorporating proxy re-encryption to further enhance security. This technique prevents ciphertext from being vulnerable to chosen ciphertext attacks, making the system more robust and secure compared to existing solutions.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-11-26
DOI
https://doi.org/10.22214/ijraset.2024.65476
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring Cloud Computing Security Challenges Through an enhanced Prototype Model

Sakshyam Panda
1 links
International Journal for Research in Applied Science and Engineering Technology
Cloud Data Security Solutions
article

Exploring Cloud Computing Security Challenges Through an enhanced Prototype Model

Sakshyam Panda
article en

Abstract

Cloud computing is a model that enables convenient, on-demand network access to a shared pool of configurable computing resources, such as networks, servers, storage, applications, and services.. However, cloud computing faces several challenges, particularly in the areas of traffic management, security, and resource allocation. To enhance security in the cloud, various approaches can be employed at different levels, such as securing data, networks, and storage. One promising approach is the use of homomorphic encryption, which allows operations to be performed on encrypted data without requiring decryption or access to the private key.. When the encrypted result of an operation is decrypted, it yields the same outcome as if the operation had been performed on the raw data. This method significantly improves data security as it excludes the cloud provider from key management. Additionally, We propose incorporating proxy re-encryption to further enhance security. This technique prevents ciphertext from being vulnerable to chosen ciphertext attacks, making the system more robust and secure compared to existing solutions.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(11)
Openalex Percentile: Top 67%
Cloud Data Security Solutions
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Exploring Cloud Computing Security Challenges Through an enhanced Prototype Model — Sakshyam Panda · International Journal for Research in Applied Science and Engineering Technology (2024) | TGRS Research Map | TGRS