Privacy and Security Enhanced Offline Oblivious Transfer for Massive Data Distribution

2006 ◽  
pp. 159-160
Author(s):  
Ickjai Lee ◽  
Hossein Ghodosi
Keyword(s):  
Data Distribution ◽  
Oblivious Transfer ◽  
Massive Data ◽  
Privacy And Security

An Adaptive Data Distribution Through Tree Rules in Frequent Pattern Mining

2018 ◽  
pp. 300-305
Keyword(s):  
Information Sharing ◽  
Pattern Mining ◽  
Data Distribution ◽  
Frequent Pattern Mining ◽  
Frequent Pattern ◽  
General Development ◽  
Secure Information ◽  
Evaluation Parameters ◽  
Secure Information Sharing

Information sharing among the associations is a general development in a couple of zones like business headway and exhibiting. As bit of the touchy principles that ought to be kept private may be uncovered and such disclosure of delicate examples may impacts the advantages of the association that have the data. Subsequently the standards which are delicate must be secured before sharing the data. In this paper to give secure information sharing delicate guidelines are bothered first which was found by incessant example tree. Here touchy arrangement of principles are bothered by substitution. This kind of substitution diminishes the hazard and increment the utility of the dataset when contrasted with different techniques. Examination is done on certifiable dataset. Results shows that proposed work is better as appear differently in relation to various past strategies on the introduce of evaluation parameters.

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.

Website Information Security and Privacy Concerns in 4IR: The Moderating Role of Trust in B2C e-Commerce

10.29007/jlq6 ◽  
2019 ◽  
Author(s):  
Thabang Mofokeng
Keyword(s):  
South Africa ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Success Factors ◽  
Industrial Revolution ◽  
Emerging Market ◽  
Security And Privacy ◽  
Future Research ◽  
Privacy And Security ◽  
Customer Trust

The technology devices introduced in recent years are not only vulnerable to Internet risks but are also unable to elevate the growth of B2C e-commerce. These concerns are particularly relevant today, as the world transitions into the Fourth Industrial Revolution. To date, existing research has largely focused on obstacles to customer loyalty. Studies have tested e-commerce models guided by the establishment of trusting, satisfied and loyal consumers in various international contexts. In South Africa, however, as an emerging market, there has been limited research on the success factors of online shopping.This study examines the influence of security and privacy on trust, seen as a moderator of customer satisfaction, which in turn, has an effect on loyalty towards websites. Based on an exhaustive review of literature, a conceptual model is proposed on the relationships between security and privacy on the one hand, and customer trust, satisfaction and loyalty on the other. A total of 250 structured, self-administered questionnaires was distributed to a purposively selected sample of respondents using face-to-face surveys in Johannesburg, South Africa. A multivariate data analysis technique was used to draw inferences from the data. With an 80.1% response rate, the findings showed that privacy and security do influence customer trust; security strongly influences customer trust and weakly influences satisfaction. In South Africa, customer loyalty towards websites is strongly determined by satisfaction and weakly determined by trust. Trust significantly moderates the effect of customer satisfaction on loyalty. The study implications and limitations are presented and future research directions are suggested.

日本における抑うつ症状に対する心理学的介入を目的とした スマートフォン用アプリケーション・プログラムのレビュー

2020 ◽  
Author(s):  
Hikari Takashina ◽  
Kengo Yokomitsu
Keyword(s):  
Depressive Symptoms ◽  
Daily Life ◽  
Behavioral Therapy ◽  
Mobile Apps ◽  
Evaluation Model ◽  
Ease Of Use ◽  
Background Information ◽  
Evidence Based ◽  
Privacy And Security ◽  
Current State

There are thousands of mobile apps delivering information and offering support and intervention in situations of daily life. The aim of this study was to identify the current state of apps for depressive symptoms or prevention of depression within the official Android and iOS app stores in Japan. The 47 apps for depression available for download from the app stores were evaluated by the App Evaluation Model regarding background information, risk/ privacy and security, evidence, ease of use, and interoperability. Also, we evaluated their primary purpose, technology components, and cognitive-behavioral therapy components. The results suggest that in general few apps have been developed that are evidence-based, secure, and provide the services that users expect. In the future, it will be necessary to develop a framework for developing and disseminating more effective apps. This study is the first review of apps for depression available in Japan and seeks to help create a framework for such apps.

Approximate Join Aggregate on Massive Data

2010 ◽  
Vol 33 (10) ◽  
pp. 1919-1933
Author(s):  
Xi-Xian HAN ◽  
Dong-Hua YANG ◽  
Jian-Zhong LI
Keyword(s):  
Massive Data
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