Difference between revisions of "Template:Article of the week"

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(Updated article of the week text.)
(Updated article of the week text.)
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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Norton JofeScienceLibrarianship2016 5 1.png|240px]]</div>
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'''"[[Journal:Assessment of and response to data needs of clinical and translational science researchers and beyond|Assessment of and response to data needs of clinical and translational science researchers and beyond]]"'''
'''"[[Journal:Multilevel classification of security concerns in cloud computing|Multilevel classification of security concerns in cloud computing]]"'''


As universities and libraries grapple with data management and “big data,” the need for data management solutions across disciplines is particularly relevant in clinical and [[Translational research|translational science research]], which is designed to traverse disciplinary and institutional boundaries. At the University of Florida Health Science Center Library, a team of librarians undertook an assessment of the research data management needs of clinical and translation science (CTS) researchers, including an online assessment and follow-up one-on-one interviews.  
Threats jeopardize some basic security requirements in a cloud. These threats generally constitute privacy breach, data leakage and unauthorized data access at different cloud layers. This paper presents a novel multilevel classification model of different security attacks across different cloud services at each layer. It also identifies attack types and risk levels associated with different cloud services at these layers. The risks are ranked as low, medium and high. The intensity of these risk levels depends upon the position of cloud layers. The attacks get more severe for lower layers where infrastructure and platform are involved. The intensity of these risk levels is also associated with security requirements of data encryption, multi-tenancy, data privacy, authentication and authorization for different cloud services. The multilevel classification model leads to the provision of dynamic security contract for each cloud layer that dynamically decides about security requirements for cloud consumer and provider. ('''[[Journal:Multilevel classification of security concerns in cloud computing|Full article...]]''')<br />
 
The 20-question online assessment was distributed to all investigators affiliated with UF’s Clinical and Translational Science Institute (CTSI) and 59 investigators responded. Follow-up in-depth interviews were conducted with nine faculty and staff members.  
 
Results indicate that UF’s CTS researchers have diverse data management needs that are often specific to their discipline or current research project and span the data lifecycle. A common theme in responses was the need for consistent data management training, particularly for graduate students; this led to localized training within the Health Science Center and CTSI, as well as campus-wide training. ('''[[Journal:Assessment of and response to data needs of clinical and translational science researchers and beyond|Full article...]]''')<br />
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Revision as of 17:07, 19 September 2016

Fig1 Hussain AppliedCompInfo2016.jpg

"Multilevel classification of security concerns in cloud computing"

Threats jeopardize some basic security requirements in a cloud. These threats generally constitute privacy breach, data leakage and unauthorized data access at different cloud layers. This paper presents a novel multilevel classification model of different security attacks across different cloud services at each layer. It also identifies attack types and risk levels associated with different cloud services at these layers. The risks are ranked as low, medium and high. The intensity of these risk levels depends upon the position of cloud layers. The attacks get more severe for lower layers where infrastructure and platform are involved. The intensity of these risk levels is also associated with security requirements of data encryption, multi-tenancy, data privacy, authentication and authorization for different cloud services. The multilevel classification model leads to the provision of dynamic security contract for each cloud layer that dynamically decides about security requirements for cloud consumer and provider. (Full article...)

Recently featured:

▪ Assessment of and response to data needs of clinical and translational science researchers and beyond
▪ SUSHI: An exquisite recipe for fully documented, reproducible and reusable NGS data analysis
▪ Open source data logger for low-cost environmental monitoring
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