Storage and Retrieval of Medical Images using Cloud Computing

2012 ◽  
Vol 5 (4) ◽  
pp. 207-213 ◽  
Author(s):  
A. Umamakeswa ◽  
N. Vijayalaks ◽  
T. Renugadevi
Keyword(s):  
Cloud Computing ◽  
Medical Images ◽  
Storage And Retrieval

Efficient Share Generator for Slicing and Securely Retrieving the Cloud-Hosted Heterogeneous Multimedia Data

2021 ◽  
pp. 20-32
Author(s):  
admin admin ◽  
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
Implementation Strategies ◽  
Critical Issue ◽  
Multimedia Data ◽  
Storage And Retrieval ◽  
Remote Storage ◽  
Source Transformation ◽  
Cloud Servers

Recently, the security of heterogeneous multimedia data becomes a very critical issue, substantially with the proliferation of multimedia data and applications. Cloud computing is the hidden back-end for storing heterogeneous multimedia data. Notwithstanding that using cloud storage is indispensable, but the remote storage servers are untrusted. Therefore, one of the most critical challenges is securing multimedia data storage and retrieval from the untrusted cloud servers. This paper applies a Shamir Secrete-Sharing scheme and integrates with cloud computing to guarantee efficiency and security for sensitive multimedia data storage and retrieval. The proposed scheme can fully support the comprehensive and multilevel security control requirements for the cloud-hosted multimedia data and applications. In addition, our scheme is also based on a source transformation that provides powerful mutual interdependence in its encrypted representation—the Share Generator slices and encrypts the multimedia data before sending it to the cloud storage. The extensive experimental evaluation on various configurations confirmed the effectiveness and efficiency of our scheme, which showed excellent performance and compatibility with several implementation strategies.

A Cloud Trusting Mechanism Based on Resource Ranking

2020 ◽  
pp. 130-155
Author(s):  
Ajai K. Daniel
Keyword(s):  
Cloud Computing ◽  
Resource Management ◽  
Service Selection ◽  
Cloud Service ◽  
Cloud Services ◽  
Storage And Retrieval ◽  
Computing Paradigm ◽  
Efficient Resource ◽  
Software And Hardware ◽  
Cloud User

The cloud-based computing paradigm helps organizations grow exponentially through means of employing an efficient resource management under the budgetary constraints. As an emerging field, cloud computing has a concept of amalgamation of database techniques, programming, network, and internet. The revolutionary advantages over conventional data computing, storage, and retrieval infrastructures result in an increase in the number of organizational services. Cloud services are feasible in all aspects such as cost, operation, infrastructure (software and hardware) and processing. The efficient resource management with cloud computing has great importance of higher scalability, significant energy saving, and cost reduction. Trustworthiness of the provider significantly influences the possible cloud user in his selection of cloud services. This chapter proposes a cloud service selection model (CSSM) for analyzing any cloud service in detail with multidimensional perspectives.

Data Security Issues and Solutions in Cloud Computing

2016 ◽  
pp. 2076-2095
Author(s):  
Abhishek Majumder ◽  
Sudipta Roy ◽  
Satarupa Biswas
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Data Security ◽  
Cloud Service ◽  
Third Party ◽  
Service Availability ◽  
Cloud Environment ◽  
Cloud Service Provider ◽  
Storage And Retrieval ◽  
Security Issues

Cloud is considered as future of Information Technology. User can utilized the cloud on pay-as-you use basis. But many organizations are stringent about the adoption of cloud computing due to their concern regarding the security of the stored data. Therefore, issues related to security of data in the cloud have become very vital. Data security involves encrypting the data and ensuring that suitable policies are imposed for sharing those data. There are several data security issues which need to be addressed. These issues are: data integrity, data intrusion, service availability, confidentiality and non-repudiation. Many schemes have been proposed for ensuring data security in cloud environment. But the existing schemes lag in fulfilling all these data security issues. In this chapter, a new Third Party Auditor based scheme has been proposed for secured storage and retrieval of client's data to and from the cloud service provider. The scheme has been analysed and compared with some of the existing schemes with respect to the security issues. From the analysis and comparison it can be observed that the proposed scheme performs better than the existing schemes.

A Framework to Secure Medical Image Storage in Cloud Computing Environment

2018 ◽  
Vol 16 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Mbarek Marwan ◽  
Ali Kartit ◽  
Hassan Ouahmane
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Cloud Storage ◽  
Business Processes ◽  
Medical Images ◽  
Primary Objective ◽  
Cloud Services ◽  
Security Measures ◽  
Local Data ◽  
Number Of Patients

Nowadays, modern healthcare providers create massive medical images every day because of the recent progress in imaging tools. This is generally due to the increasing number of patients demanding medical services. This has resulted in a continuous demand of a large storage space. Unfortunately, healthcare domains still use local data centers for storing medical data and managing business processes. This has significant negative impacts on operating costs associated with licensing fees and maintenance. To overcome these challenges, healthcare organizations are interested in adopting cloud storage rather than on-premise hosted solutions. This is mainly justified by the scalability, cost savings and availability of cloud services. The primary objective of this model is to outsource data and delegate IT computations to an external party. The latter delivers needed storage systems via the Internet to fulfill client's demands. Even though this model provides significant cost advantages, using cloud storage raises security challenges. To this aim, this article describes several solutions which were proposed to ensure data protection. The existing implementations suffer from many limitations. The authors propose a framework to secure the storage of medical images over cloud computing. In this regard, they use multi-region segmentation and watermarking techniques to maintain both confidentiality and integrity. In addition, they rely on an ABAC model to ensure access control to cloud storage. This solution mainly includes four functions, i.e., (1) split data for privacy protection, (2) authentication for medical dataset accessing, (3) integrity checking, and (4) access control to enforce security measures. Hence, the proposal is an appropriate solution to meet privacy requirements.

scholarly journals Modeling and Simulation of Cloud Computing Solution for Distributed Space Data Storage and Access In Mobile Communication Networks / Mākoņskaitļošanas Risinājuma Modelēšana Un Simulācija Izkliedētai Kosmiskas Izcelsmes Datu Glabāšanai Un Piekļuvei Mobilos Komunikāciju Tīklos

2013 ◽  
Vol 50 (5) ◽  
pp. 20-28
Author(s):  
M. Kurmis ◽  
D. Dzemydiene ◽  
R. Didziokas ◽  
J. Trokss
Keyword(s):  
Cloud Computing ◽  
Modeling And Simulation ◽  
Communication Networks ◽  
Data Storage ◽  
Mobile Communication ◽  
Storage And Retrieval ◽  
Computing Model ◽  
Computing Paradigm ◽  
Mobile Communication Networks ◽  
Space Data

Abstract Storage and retrieval of space signals require an advanced set of core technologies that can be implemented with a cloud computing paradigm. In this work we propose a cloud computing solution for the distributed space data storage and access in mobile communication networks. The modeling and simulation results show that the proposed solution performs satisfactorily in the space data processing. In the future, experimental verification of the cloud computing model and its implementation are envisaged.

scholarly journals A Survey on Ontology-Based Systems to Support the Prospection, Diagnosis and Treatment of Breast Cancer

2016 ◽  
Author(s):  
Cassia Isac ◽  
José Viterbo ◽  
Aura Conci
Keyword(s):  
Breast Cancer ◽  
Semantic Web ◽  
Cancer Detection ◽  
Medical Images ◽  
Breast Cancer Detection ◽  
Data Sources ◽  
Diagnosis And Treatment ◽  
Huge Amount ◽  
Storage And Retrieval ◽  
Comprehensive Study

In a scenario where there is a huge amount of available data sources, the Semantic Web has played a key role in sharing, retrieval, selection, and combination of data organized in various formats. The storage and retrieval of medical images manipulated by systems that support breast cancer detection can take great advantage from the use of such technology. In this paper we present a comprehensive study on ontology-based systems that support the manipulation of medical images related to breast cancer, identifying the main features of each approach.

scholarly journals An Efficient E2C2 Visual Cryptographic Technique to Secure Medical Images in Cloud Environment

2019 ◽  
Vol 9 (2) ◽  
pp. 4709-4714
Keyword(s):  
High Performance ◽  
Medical Images ◽  
Medical Data ◽  
Data Availability ◽  
Cloud Environment ◽  
Cloud Platform ◽  
Storage And Retrieval ◽  
Aes Algorithm ◽  
Secure Storage ◽  
Secure Authentication

Secure storage and easy retrieval of data is major concern for patients when medical data is stored over cloud platform. The unique features of cloud environment are high performance, data availability and security among which security of data stored in cloud environment is sensitive it can be easily attacked by intruders. Concerning medical images, while storing data, proper secure authentication method should be applied in order to avoid misuse of medical data. When this medical image is retrieved, the clarity of retrieved image should be high in order to determine the exact cause of sickness. This paper focuses on proposing a secure storage and retrieval of medical images stored in cloud with visual cryptographic technique using AES algorithm. The experimental results show that the proposed system is able to store images securely and retrieve medical images with high clarity.

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