ADVANCED TECHNOLOGIES FOR DISTRIBUTED DATABASE SERVICES HYPERINFRASTRUCTURE

2005 ◽  
Vol 20 (16) ◽  
pp. 3877-3879 ◽  
Author(s):  
ALEXANDRE VANIACHINE ◽  
DAVID MALON ◽  
MATTHEW VRANICAR
Keyword(s):  
Data Processing ◽  
Data Access ◽  
Distributed Database ◽  
Lessons Learned ◽  
Heterogeneous Databases ◽  
Event Data ◽  
Production Environment ◽  
Database Access ◽  
Access Methods ◽  
Secure Data

HEP collaborations are deploying grid technologies to address petabyte-scale data processing challenges. In addition to file-based event data, HEP data processing requires access to terabytes of non-event data (detector conditions, calibrations, etc.) stored in relational databases. Inadequate for non-event data delivery in these amounts, database access control technologies for grid computing are limited to encrypted message transfers. To overcome these database access limitations one must go beyond the existing grid infrastructure. A proposed hyperinfrastructure of distributed database services implements efficient secure data access methods. We introduce several technologies laying a foundation of a new hyperinfrastructure. We present efficient secure data transfer methods and secure grid query engine technologies federating heterogeneous databases. Lessons learned in a production environment of ATLAS Data Challenges are presented.

scholarly journals An open framework for biodiversity databases

2014 ◽  
Author(s):  
Miklós Bán ◽  
Zsolt Végvári ◽  
Sándor Bérces
Keyword(s):  
Data Processing ◽  
National Parks ◽  
Web Application ◽  
Distributed Database ◽  
Data Service ◽  
Database Access ◽  
Open Framework ◽  
Web Map ◽  
Biodiversity Databases

OpenBioMaps is a recently developed, open and free web application with distributed database background, operated by several universities and national parks. This system provides free web map services and open database access by using standard OGC protocols. One of its' main features is that users can create new and unique database projects. The databases involved are maintained by the data providers themselves. Standard tools supplied to the users include repeatable and referable data queries, exporting, evaluations and tracking of data changes. The system also provides a programmable data service for promoting data processing.

scholarly journals Key agreement based secure Kerberos authentication protocol (KASKAP) for distributed database access in secured manner

2018 ◽  
Vol 7 (2.9) ◽  
pp. 24
Author(s):  
Natarajan M ◽  
Manimegalai R
Keyword(s):  
Data Processing ◽  
Key Agreement ◽  
Distributed Databases ◽  
Distributed Database ◽  
Authentication Protocol ◽  
Operating Costs ◽  
Database Access ◽  
Security Issues ◽  
Huge Data ◽  
Distributed Database Design

Distributed database is a collection of multiple databases that can be stored at different network sites. It acts as an important role in today’s world intended for storing and retrieving huge data. The implementation of distributed database advantages such as data replication, low operating costs, faster data transaction and data processing, but security is still a significant problem. In this paper make clear to explain security issues of distributed database and give the suggestion to improve security of distributed database. Subsequently, secured distributed database design in light of trusted node is proposed. The design contains a unique node in a system called a trusted node for each site through which every single other node will get to the database. Trusted node process client demands, joins the outcomes from concerned distributed databases and forward it to the confirmed client. The system adjusted by the trusted nodes keeping in mind the end goal to give authentication is Key Agreement based Secure Kerberos Authentication Protocol (KASKAP). Hence authenticated users can only access the database.

scholarly journals Mobile agents for World Wide Web distributed database access

2000 ◽  
Vol 12 (5) ◽  
pp. 802-820 ◽  
Author(s):  
S. Papastavrou ◽  
G. Samaras ◽  
E. Pitoura
Keyword(s):  
World Wide Web ◽  
Mobile Agents ◽  
World Wide ◽  
Distributed Database ◽  
Database Access

Secure Data Access and Sharing Scheme for Cloud Storage

2016 ◽  
Vol 96 (4) ◽  
pp. 5295-5314 ◽  
Author(s):  
Xiong Li ◽  
Saru Kumari ◽  
Jian Shen ◽  
Fan Wu ◽  
Caisen Chen ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Data Access ◽  
Sharing Scheme ◽  
Secure Data

An Emergency Preparedness Response to Opioid-Prescribing Enforcement Actions in Maryland, 2018-2019

2021 ◽  
Vol 136 (1_suppl) ◽  
pp. 9S-17S
Author(s):  
Jessica C. Acharya ◽  
B. Casey Lyons ◽  
Vijay Murthy ◽  
Jennifer Stanley ◽  
Carly Babcock ◽  
...  
Keyword(s):  
Emergency Preparedness ◽  
Data Access ◽  
Opioid Use Disorder ◽  
Lessons Learned ◽  
Mitigation Strategies ◽  
Federal State ◽  
Opioid Use ◽  
Time Data ◽  
Enforcement Action ◽  
State And Local

Federal and state enforcement authorities have increasingly intervened on the criminal overprescribing of opioids. However, little is known about the health effects these enforcement actions have on patients experiencing disrupted access to prescription opioids or medication-assisted treatment/medication for opioid use disorder. Simultaneously, opioid death rates have increased. In response, the Maryland Department of Health (MDH) has worked to coordinate mitigation strategies with enforcement partners (defined as any federal, state, or local enforcement authority or other governmental investigative authority). One strategy is a standardized protocol to implement emergency response functions, including rapidly identifying health hazards with real-time data access, deploying resources locally, and providing credible messages to partners and the public. From January 2018 through October 2019, MDH used the protocol in response to 12 enforcement actions targeting 34 medical professionals. A total of 9624 patients received Schedule II-V controlled substance prescriptions from affected prescribers under investigation in the 6 months before the respective enforcement action; 9270 (96%) patients were residents of Maryland. Preliminary data indicate fatal overdose events and potential loss of follow-up care among the patient population experiencing disrupted health care as a result of an enforcement action. The success of the strategy hinged on endorsement by leadership; the establishment of federal, state, and local roles and responsibilities; and data sharing. MDH’s approach, data sources, and lessons learned may support health departments across the country that are interested in conducting similar activities on the front lines of the opioid crisis.

scholarly journals Protecting Sensitive Data with Secure Data Enclaves

2021 ◽  
Author(s):  
Mark Howison ◽  
Mintaka Angell ◽  
Michael Hicklen ◽  
Justine S. Hastings
Keyword(s):  
Data Sharing ◽  
Data Use ◽  
Data Access ◽  
Cloud Services ◽  
Reference Architecture ◽  
Sensitive Data ◽  
Technical Requirements ◽  
Data Owner ◽  
Secure Data ◽  
Amazon Web Services

A Secure Data Enclave is a system that allows data owners to control data access and ensure data security while facilitating approved uses of data by other parties. This model of data use offers additional protections and technical controls for the data owner compared to the more commonly used approach of transferring data from the owner to another party through a data sharing agreement. Under the data use model, the data owner retains full transparency and auditing over the other party’s access, which can be difficult to achieve in practice with even the best legal instrument for data sharing. We describe the key technical requirements for a Secure Data Enclave and provide a reference architecture for its implementation on the Amazon Web Services platform using managed cloud services.

scholarly journals Secure data access control with perception reasoning

2018 ◽  
Vol 7 (1) ◽  
pp. 13 ◽  
Author(s):  
Abdul MATEEN ◽  
Abdul RAUF ◽  
Abdul HANAN ABDULLAH ◽  
Mahmood ASHRAF
Keyword(s):  
Access Control ◽  
Data Access ◽  
Data Access Control ◽  
Secure Data

scholarly journals DEVELOPMENT OF A HETEROGENIC DISTRIBUTED ENVIRONMENT FOR SPATIAL DATA PROCESSING USING CLOUD TECHNOLOGIES

2016 ◽  
Vol XLI-B4 ◽  
pp. 385-390
Author(s):  
A. S. Garov ◽  
I. P. Karachevtseva ◽  
E. V. Matveev ◽  
A. E. Zubarev ◽  
I. V. Florinsky
Keyword(s):  
Data Processing ◽  
Spatial Data ◽  
3D Visualization ◽  
New Technology ◽  
Main Idea ◽  
Remote Sensing Data ◽  
Data Access ◽  
Working Environment ◽  
Software Environment ◽  
Spatial Data Processing

We are developing a unified distributed communication environment for processing of spatial data which integrates web-, desktop- and mobile platforms and combines volunteer computing model and public cloud possibilities. The main idea is to create a flexible working environment for research groups, which may be scaled according to required data volume and computing power, while keeping infrastructure costs at minimum. It is based upon the "single window" principle, which combines data access via geoportal functionality, processing possibilities and communication between researchers. Using an innovative software environment the recently developed planetary information system (<a href="http://cartsrv.mexlab.ru/geoportal"target="_blank">http://cartsrv.mexlab.ru/geoportal</a>) will be updated. The new system will provide spatial data processing, analysis and 3D-visualization and will be tested based on freely available Earth remote sensing data as well as Solar system planetary images from various missions. Based on this approach it will be possible to organize the research and representation of results on a new technology level, which provides more possibilities for immediate and direct reuse of research materials, including data, algorithms, methodology, and components. The new software environment is targeted at remote scientific teams, and will provide access to existing spatial distributed information for which we suggest implementation of a user interface as an advanced front-end, e.g., for virtual globe system.

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