A Novel Effective Framework for Medical Images Secure Storage Using Advanced Cipher Text Algorithm in Cloud Computing

2021 ◽  
Author(s):  
S Phani Praveen ◽  
S Sindhura ◽  
A Madhuri ◽  
Dimitrios A. Karras
Keyword(s):  
Cloud Computing ◽  
Medical Images ◽  
Cipher Text ◽  
Secure Storage

Comparative Study of Cryptography for Cloud Computing for Data Security

2019 ◽  
Vol 13 ◽  
Author(s):  
Priya Mathur ◽  
Amit Kumar Gupta ◽  
Prateek Vashishtha
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Elliptic Curve Cryptography ◽  
Plain Text ◽  
Hybrid Encryption ◽  
Cipher Text ◽  
Business Applications ◽  
Computing Grid ◽  
Cloud Servers ◽  
Client Side

Cloud computing is an emerging technique by which anyone can access the applications as utilities over the internet. Cloud computing is the technology which comprises of all the characteristics of the technologies like distributed computing, grid computing, and ubiquitous computing. Cloud computing allows everyone to create, to configure as well as to customize the business applications online. Cryptography is the technique which is use to convert the plain text into cipher text using various encryption techniques. The art and science used to introduce the secrecy in the information security in order to secure the messages is defined as cryptography. In this paper we are going to review few latest Cryptographic algorithms which are used to enhance the security of the data on the cloud servers. We are comparing Short Range Natural Number Modified RSA (SRNN), Elliptic Curve Cryptography Algorithm, Client Side Encryption Technique and Hybrid Encryption Technique to secure the data in cloud.

Necessity of Key Aggregation Cryptosystem for Data Sharing in Cloud Computing

2019 ◽  
pp. 1393-1407
Author(s):  
R. Deepthi Crestose Rebekah ◽  
Dhanaraj Cheelu ◽  
M. Rajasekhara Babu
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Data Protection ◽  
Cloud Storage ◽  
Symmetric Encryption ◽  
Secure Storage ◽  
Constant Size ◽  
Secret Keys ◽  
Protection Mechanisms ◽  
Existing Data

Cloud computing is one of the most exciting technologies due to its ability to increase flexibility and scalability for computer processes, while reducing cost associated with computing. It is important to share the data securely, efficiently, and flexibly in cloud storage. Existing data protection mechanisms such as symmetric encryption techniques are unsuccessful in preventing data sharing securely. This article suggests Key aggregate cryptosystem which produce constant size ciphertexts in order to delegate decryption rights for any set of ciphertexts. The uniqueness is that one can aggregate any number of secret keys and make them as compact as a single key. This compact aggregate key can be easily sent to others with very limited secure storage.

A Comprehensive Survey on Techniques Based on TPM for Ensuring the Confidentiality in Cloud Data Centers

2019 ◽  
pp. 446-458
Author(s):  
Arun Fera M. ◽  
M. Saravanapriya ◽  
J. John Shiny
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Research Work ◽  
Computing Systems ◽  
Trusted Platform Module ◽  
Cloud Data ◽  
Secure Storage ◽  
Comprehensive Survey ◽  
Cloud Data Centers ◽  
Trusted Platform

Cloud computing is one of the most vital technology which becomes part and parcel of corporate life. It is considered to be one of the most emerging technology which serves for various applications. Generally these Cloud computing systems provide a various data storage services which highly reduces the complexity of users. we mainly focus on addressing in providing confidentiality to users' data. We are proposing one mechanism for addressing this issue. Since software level security has vulnerabilities in addressing the solution to our problem we are dealing with providing hardware level of security. We are focusing on Trusted Platform Module (TPM) which is a chip in computer that is used for secure storage that is mainly used to deal with authentication problem. TPM which when used provides a trustworthy environment to the users. A detailed survey on various existing TPM related security and its implementations is carried out in our research work.

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

scholarly journals An Efficient Scheme to Support Direct Revocation in Cloud Computing Using CPABE :the Approach with Less Time Constraints

2018 ◽  
Vol 7 (3.8) ◽  
pp. 141
Author(s):  
Miss. Rupali G. Dande ◽  
Prof. Dr. Amol D. Potgantwar
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Research Direction ◽  
Experimental Result ◽  
Main Concern ◽  
Access Structure ◽  
Practical Application ◽  
Cipher Text ◽  
File Access ◽  
Efficient Scheme

Secure Data sharing is a major issue of concern in cloud computing. CPABE is well known encryption technique for dealing with the problem of data security over the network. Most of the files have multilevel access hierarchy especially in health care and military domain. The hierarchy structure and revocation of shared files is not scrutinized in CP-ABE. In this paper, experts proposed the enhanced method of encryption to support the direct revocation, in which sender specifies the revocation list during encryption of cipher text so that the problem of releasing periodic key update information in indirect revocation is vanished. Here the direct revocation mechanism and file access based hierarchy are merged to get enhanced CPABE. The multilevel access structure is integrated and merged with encrypted files with the current access structure. Along with revocation, aim is also to improve the overall system performance with respect to encryption time and decryption time. Experimental result shows the enhanced performance of the proposed system as compared to existing system with respect to time and security constraints. Moreover the scheme is secure under the standard security assumption. Finally, based on the research, it gives forthcoming research direction to expand and implement the scheme in any practical application where security is main concern by proper coalition of the proposed technologies. 

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.

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