An Efficient Cloud Computing Security in Healthcare Management System

2017 ◽  
Vol 7 (8) ◽  
pp. 185 ◽  
Author(s):  
M. Vignesh Mahalakshmi ◽  
G. T. Shrivakshan
Keyword(s):  
Cloud Computing ◽  
High Efficiency ◽  
Healthcare Management ◽  
Healthcare Sector ◽  
X Rays ◽  
Cloud Environment ◽  
Database Server ◽  
Private Data ◽  
Cloud Database ◽  
Electronic Health

Now-a-days Healthcare Sectors to create acloud computing environment to obtain a patient's complete medical record. This environment reduces time consuming efforts and other costly operations and uniformly integrates collection of medical data to deliver it to the healthcare specialists. Electronic HealthRecords have been usuallyimplemented to enable healthcare providers and patients to create, manage and access healthcare information from at any time and any place. Cloud environment provide the essential infrastructure at lower cost and improved quality. The Healthcare sector reduces the cost of storing, processing and updating with improved efficiency and quality by using Cloud computing. But today the security of data in cloud environment is not adequate. The electronic health record consists of images of the patient’s record which is very confidential. The Electronic Health Records in the healthcare sector includes the scan images, X-rays,DNA reports etc., which are considered as the patients private data.It requires a very high degree of privacy and authentication. So, providing security for a large volume of data with high efficiency is required in cloud environment. This paper introduces a new mechanism in which the images of patient’s record can be secured efficiently and the private data are well-maintained for later use. Since most of the private data are in the form of images, extra care must be taken to secure these images. This can be done by converting the images into pixels and then encrypting those pixels. After the encryption, the single encrypted file is divided into ‘n’ number of files and they are stored in the cloud database server. The original data is obtained by merging the n divided files from the cloud database server and then decrypting that merged file using the private key which is made visible only to the authorized persons as required by the hospital. To protect the data in cloud database server cryptography is one of the important methods. Cryptography provides several symmetric and asymmetric algorithms to secure the data. This paper presents the symmetric cryptographic algorithm named as Advanced Encryption Standard (AES).

scholarly journals A Survey on collusion resistant data sharing in cloud environment

2018 ◽  
Vol 7 (2.20) ◽  
pp. 224
Author(s):  
N Rajkumar ◽  
E Kannan
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Cloud Storage ◽  
Internet Access ◽  
Cloud Environment ◽  
Complete Protection ◽  
Collusion Resistance ◽  
Abnormal State ◽  
Private Data ◽  
Better Than

Cloud Computing is an emerging technology that uses the internet and remote servers to save information and application. Cloud computing enables customers and organizations to utilize applications without establishment and access their own documents at any computer with internet access. Collusion Resistant Secured the way to deal the fulfillment of an abnormal state of security with complete protection. A large portion of these techniques depend on a presumption that semi-trusted and arrangement is absent. In this paper, we concentrate on the issue of conspiracies, in which a few gatherings may connive and share their record to find the private data of different gatherings. The other related works better than this is more secure. This paper reveals an overview and study of collusion resistance techniques in more secure and efficient way for data sharing in cloud storage.

scholarly journals ESJF Algorithm to Improve Cloud Environment

2021 ◽  
pp. 4171-4180
Author(s):  
Manal F. Younis
Keyword(s):  
Cloud Computing ◽  
Completion Time ◽  
High Efficiency ◽  
Technological Development ◽  
Cloud Services ◽  
The Internet ◽  
Cloud Environment ◽  
Critical Problem ◽  
Remote Services ◽  
Cloud Users

Nowadays, after the technological development in societies, cloud computing has become one of the most important technologies. It provides users with software, hardware, and platform as remote services over the Internet. The increasing number of cloud users has caused a critical problem in how the clients receive cloud services when the cloud is in a state of instability, as it cannot provide required services and, thus, a delay occurs. Therefore, an algorithm was proposed to provide high efficiency and stability to work, because all existing tasks must operate without delay. The proposed system is an enhancement shortest job first algorithm (ESJF) using a time slice, which works by taking a task in the shortest time first and then the longest first from the queue. Through the experimental results in decreasing the waiting and completion time of the task, as well as taking into account reducing tasks starvation, the result of the proposed ESJF algorithm was compared with the traditional shortest job first (SJF) algorithm. These algorithms were applied when all tasks arrived at the same time, and it proved that the ESJF algorithm works more efficiently compared to SJF.

An Enhanced Methodology to Protect the Patient Healthcare Records Using Multi-Cloud Approach

2017 ◽  
Vol 7 (8) ◽  
pp. 239
Author(s):  
R. Josephius Arunkumar ◽  
R. Anbuselvi
Keyword(s):  
Cloud Computing ◽  
Electronic Health Record ◽  
Distributed Storage ◽  
Information Storage And Retrieval ◽  
Information Storage ◽  
Health Record ◽  
Cloud Environment ◽  
Electronic Health ◽  
Multi Cloud

Now-a-days, most hospitals and medical centers is to manage huge volume of patient’s medical records into database. It is essential to collect and access this information everywhere, to increase productivity and improve quality of health cares. Need to access electronic health information across the world and improve the quality of healthcare to patients will highlight importance of using cloud computing architecture in this area. But, despite the benefits of cloud computing applications for health care, the security challenges of cloud should be addressed. In this paper, we introduce and describe a new proposed model called Electronic Health Record with Multi-Clouds Databases. This model will ensure the privacy of persons in a network and multi-cloud environment using cryptographic algorithm and distributed storage. This model is able to store any type of data such as number, string, image, etc. in a cloud environment. The Electronic Health Record with Multi-Clouds Database prevent from illegal intrusion and access to data in cloud environment and provide services such as data integrity, confidentiality and permanent availability of data in a safe and secure way. The evaluation results of proposed method show that despite increasing time of information storage and retrieval and System overhead

Survey of Cloud Computing in Healthcare Sector

2017 ◽  
Vol 7 (7) ◽  
pp. 337
Author(s):  
S. Karthiga Devi ◽  
B. Arputhamary
Keyword(s):  
Cloud Computing ◽  
Healthcare Providers ◽  
High Volume ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Cloud Infrastructure ◽  
Healthcare Organizations ◽  
Privacy And Security ◽  
Healthcare Data ◽  
Number Of Patients

Today the volume of healthcare data generated increased rapidly because of the number of patients in each hospital increasing.  These data are most important for decision making and delivering the best care for patients. Healthcare providers are now faced with collecting, managing, storing and securing huge amounts of sensitive protected health information. As a result, an increasing number of healthcare organizations are turning to cloud based services. Cloud computing offers a viable, secure alternative to premise based healthcare solutions. The infrastructure of Cloud is characterized by a high volume storage and a high throughput. The privacy and security are the two most important concerns in cloud-based healthcare services. Healthcare organization should have electronic medical records in order to use the cloud infrastructure. This paper surveys the challenges of cloud in healthcare and benefits of cloud techniques in health care industries.

A Review on Load Balancing Model Using Best Partition Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 284
Author(s):  
M. Chaitanya ◽  
K. Durga Charan
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Load Balance ◽  
Large Impact ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Partition Technique ◽  
Textual Content

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

scholarly journals Analysis of factors affecting IoT-based smart hospital design

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Banu Çalış Uslu ◽  
Ertuğ Okay ◽  
Erkan Dursun
Keyword(s):  
High Efficiency ◽  
Health Sector ◽  
Transformation Process ◽  
Healthcare Management ◽  
Hospital System ◽  
Intelligent Computing ◽  
Factors Affecting ◽  
Hospital Design ◽  
Road Map ◽  
Smart Hospital

AbstractCurrently, rapidly developing digital technological innovations affect and change the integrated information management processes of all sectors. The high efficiency of these innovations has inevitably pushed the health sector into a digital transformation process to optimize the technologies and methodologies used to optimize healthcare management systems. In this transformation, the Internet of Things (IoT) technology plays an important role, which enables many devices to connect and work together. IoT allows systems to work together using sensors, connection methods, internet protocols, databases, cloud computing, and analytic as infrastructure. In this respect, it is necessary to establish the necessary technical infrastructure and a suitable environment for the development of smart hospitals. This study points out the optimization factors, challenges, available technologies, and opportunities, as well as the system architecture that come about by employing IoT technology in smart hospital environments. In order to do that, the required technical infrastructure is divided into five layers and the system infrastructure, constraints, and methods needed in each layer are specified, which also includes the smart hospital’s dimensions and extent of intelligent computing and real-time big data analytic. As a result of the study, the deficiencies that may arise in each layer for the smart hospital design model and the factors that should be taken into account to eliminate them are explained. It is expected to provide a road map to managers, system developers, and researchers interested in optimization of the design of the smart hospital system.

A SURVEY ON CLOUD-DENIAL OF SERVICE

2020 ◽  
Vol 1 (2) ◽  
pp. 1-5
Author(s):  
Bibek Naha ◽  
Siddhartha Banerjee ◽  
Sayanti Mondal
Keyword(s):  
Cloud Computing ◽  
Comparative Study ◽  
Denial Of Service ◽  
Distributed Denial Of Service ◽  
Cloud Environment ◽  
Dos Attack ◽  
Huge Amount ◽  
Denial Of Service Attack ◽  
Service Attack ◽  
Insight Into

Cloud Computing is one of the most nurtured as well as debated topic in today’s world. Billions of data of various fields ranging from personal users to large business enterprises reside in Cloud. Therefore, availability of this huge amount of data and services is of immense importance. The DOS (Denial of Service) attack is a well-known threat to the availability of data in a smaller premise. Whenever, it’s a Cloud environment this simple DOS attack takes the form of DDOS (Distributed Denial of Service) attack. This paper provides a generic insight into the various kinds of DOS as well as DDOS attacks. Moreover, a handful of countermeasures have also been depicted here. In a nutshell, it aims at raising an awareness by outlining a clear picture of the Cloud availability issues.Our paper gives a comparative study of different techniques of detecting DOS.

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