scholarly journals SECURING CLOUD SHARED DATA

2016 ◽  
Vol 2 (4) ◽  
Author(s):  
PANKAJ ,
Keyword(s):  
Cloud Computing ◽  
Information Sharing ◽  
Computer System ◽  
Online Information ◽  
Shared Data

Cloud computing is an internet-based technique which  shared data into computer system and other devices connected by internet. The basic administration gave by the Cloud is Information stockpiling that is progressively more clients are beginning to use cloud to online information store and share. But since the incessant change of the participation, sharing information in multi-proprietor way turns into an extremely troublesome assignment. Along these lines we propose secure multi proprietor information sharing for element amasses by consolidating bunch signature and element communicate encryption methods. We additionally utilize AES calculation to enhance execution of the framework as far as security. This certification any gathering part can namelessly share the cloud assets.

scholarly journals Persuading end users to act cautiously online: a fear appeals study on phishing

2018 ◽  
Vol 26 (3) ◽  
pp. 264-276 ◽  
Author(s):  
Jurjen Jansen ◽  
Paul van Schaik
Keyword(s):  
Information Sharing ◽  
Fear Appeals ◽  
Future Research ◽  
Protection Motivation ◽  
Online Information ◽  
Fear Appeal ◽  
Content Type ◽  
Phishing Attacks ◽  
Internet Users ◽  
Post Test

Purpose The purpose of this paper is to test the protection motivation theory (PMT) in the context of fear appeal interventions to reduce the threat of phishing attacks. In addition, it was tested to what extent the model relations are equivalent across fear appeal conditions and across time. Design/methodology/approach A pre-test post-test design was used. In the pre-test, 1,201 internet users filled out an online survey and were presented with one of three fear appeal conditions: strong fear appeal, weak fear appeal and control condition. Arguments regarding vulnerability of phishing attacks and response efficacy of vigilant online information-sharing behaviour were manipulated in the fear appeals. In the post-test, data were collected from 786 internet users and analysed with partial least squares path modelling. Findings The study found that PMT model relations hold in the domain of phishing. Self-efficacy and fear were the most important predictors of protection motivation. In general, the model results were equivalent across conditions and across time. Practical Implications It is important to consider online information-sharing behaviour because it facilitates the occurrence and success of phishing attacks. The results give practitioners more insight into important factors to address in the design of preventative measures to reduce the success of phishing attacks. Future research is needed to test how fear appeals work in real-world settings and over longer periods. Originality/value This paper is a substantial adaptation of a previous conference paper (Jansen and Van Schaik, 2017a, b).

Adversarial Cross-domain Community Question Retrieval

2022 ◽  
Vol 21 (3) ◽  
pp. 1-22
Author(s):  
Aibo Guo ◽  
Xinyi Li ◽  
Ning Pang ◽  
Xiang Zhao
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Information Access ◽  
Professional Knowledge ◽  
Feature Space ◽  
Online Information ◽  
Cross Domain ◽  
Adversarial Training ◽  
Sentence Matching ◽  
Target Data

Community Q&A forum is a special type of social media that provides a platform to raise questions and to answer them (both by forum participants), to facilitate online information sharing. Currently, community Q&A forums in professional domains have attracted a large number of users by offering professional knowledge. To support information access and save users’ efforts of raising new questions, they usually come with a question retrieval function, which retrieves similar existing questions (and their answers) to a user’s query. However, it can be difficult for community Q&A forums to cover all domains, especially those emerging lately with little labeled data but great discrepancy from existing domains. We refer to this scenario as cross-domain question retrieval. To handle the unique challenges of cross-domain question retrieval, we design a model based on adversarial training, namely, X-QR , which consists of two modules—a domain discriminator and a sentence matcher. The domain discriminator aims at aligning the source and target data distributions and unifying the feature space by domain-adversarial training. With the assistance of the domain discriminator, the sentence matcher is able to learn domain-consistent knowledge for the final matching prediction. To the best of our knowledge, this work is among the first to investigate the domain adaption problem of sentence matching for community Q&A forums question retrieval. The experiment results suggest that the proposed X-QR model offers better performance than conventional sentence matching methods in accomplishing cross-domain community Q&A tasks.

scholarly journals Seek or Provide: Comparative Effects of Online Information Sharing on Seniors’ Quality of Life

2014 ◽  
Vol 34 ◽  
Author(s):  
Joo Hee Choi ◽  
Sunjae Kim ◽  
Jae Yun Moon ◽  
Jungmin Kang ◽  
Inseong Lee ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Information Sharing ◽  
Online Information

The Determinants of Online Information Sharing Behavior Among Millennials in Malaysia

2017 ◽  
Vol 23 (11) ◽  
pp. 10568-10572
Author(s):  
Ahmad Iqbal Hakim Suhaimi ◽  
Hazirah Afifah Abd Rahim ◽  
Fauziah Redzuan ◽  
Wan Abdul Rahim Wan Isa ◽  
Wan Adilah Wan Adnan
Keyword(s):  
Information Sharing ◽  
Online Information ◽  
Sharing Behavior

Cloud-Computing-Based Biomedical Information Sharing Business Model

2014 ◽  
Vol 556-562 ◽  
pp. 6199-6202
Author(s):  
Hui Jie Ding ◽  
Chun Jiang Yu ◽  
Shu Huang
Keyword(s):  
Cloud Computing ◽  
Information Sharing ◽  
Medical Information ◽  
System Structure ◽  
Medical Information System ◽  
Distributed Programming ◽  
Medical Computing ◽  
Computing Platform ◽  
Whole Process ◽  
Virtual Platform

The presence of large amounts of Data Island in medical information system seriously hindered the whole process coordination and integration of the health service. To solve above problems, this paper, on the basis of the analysis of characteristics of medical information resources, put forward medical information sharing system based on cloud computing, discussed the medical computing platform and key technology of the system structure and in the technical implementation, on the basis of Hadoop platform and virtual platform Tashi, demonstrates the feasibility of the system by using graphs to cloud computing distributed programming.

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