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A Study on the Development of Next Generation Intelligent Integrated Security Management Model using Big Data Technology

Jeong Beom Kim
2015 International Journal of Security and Its Applications  
In this article, the development of integrated security model for the next generation using big data technology is proposed.  ...  kinds of security input channels, using big data analysis technology.  ...  Acknowledgements Funding for this paper was provided by Namseoul University. International Journal of Security and Its Applications Vol. 9, No. 6 (2015) Copyright ⓒ 2015 SERSC  ... 
doi:10.14257/ijsia.2015.9.6.21 fatcat:oa6oxi6uljbp7isxc52tjrzkdm

Big data platform for health and safety accident prediction

Anuoluwapo Ajayi, Lukumon Oyedele, Juan Manuel Davila Delgado, Lukman Akanbi, Muhammad Bilal, Olugbenga Akinade, Oladimeji Olawale
2019 World Journal of Science Technology and Sustainable Development  
Design/methodology/approach -The study focuses on using the big data frameworks for designing a robust architecture for handling and analysing (exploratory and predictive analytics) accidents in power  ...  It also highlights the inability of the conventional technologies in handling unstructured and incomplete data set for real-time analytics processing.  ...  Therefore, a big data architecture is proposed for managing health and safety risks.  ... 
doi:10.1108/wjstsd-05-2018-0042 fatcat:6lsla7v7bbhv7hfg42sk3o7awi

Security Management Architecture for Secure Smartwork Center

Yun sang Byun, Jin Kwak
2013 International Journal of Security and Its Applications  
Therefore, in this paper, we proposed Security management architecture for the construction of a secure smartwork center.  ...  As a result, there can be security vulnerabilities such as the leakage of secret data, invasion of privacy, viruses, and the spread of malware.  ...  Big Data Processing: Security events are gathered from a number of different systems; thus, a large volume of data (big data) is collected.  ... 
doi:10.14257/ijsia.2013.7.5.29 fatcat:brkl2ukqejasffxwmwl6bevfge

Improving Incident Response in Big Data Ecosystems by Using Blockchain Technologies

Moreno, Serrano, Fernandez, Fernández-Medina
2020 Applied Sciences  
Big data ecosystems are increasingly important for the daily activities of any type of company.  ...  When approaching security in big data as an issue, it must be considered not only during the creation and implementation of the big data ecosystem, but also throughout its entire lifecycle, including operation  ...  Security Reference Architecture for Big Data Ecosystems The term big data refers to an environment that allows the analysis and management of large amounts of data, which can be generated in almost real  ... 
doi:10.3390/app10020724 fatcat:cyofiu4xhnerhevprba6mytvui

Insight-driven Crisis Information - Preparing for the Unexpected using Big Data

Hendrik Stange, Sylvia Steenhoek, Sebastian Bothe, François Schnitzler
2015 International Conference on Information Systems for Crisis Response and Management  
human feedback for automated incident detection and learning.  ...  Big data technologies, uncertainty handling and privacyby-design are employed to match end-user system requirements.  ...  To be ready for data streams, each ISA instantiates the Lambda Architecture using standard big data technologies, e.g.  ... 
dblp:conf/iscram/StangeSBS15 fatcat:zwijvgdzobccfmzlqkzjojwjxm

Data Life Cycle: Towards a Reference Architecture

Mohammed EL Arass
2020 International Journal of Advanced Trends in Computer Science and Engineering  
Different organizations lean to produce high quality frameworks to manage data throughout their lifecycle like the developed architecture for Big Data named NIST Big Data Reference Architecture (NBD-RA  ...  Also, the enhanced version enriches the NIST architecture and could be an open reference architecture allowing companies that want to create value from their collected data "Big" and manage it in order  ...  NIST Big Data Reference Architecture was the first attempt to design open reference architecture for Big Data [2] .  ... 
doi:10.30534/ijatcse/2020/215942020 fatcat:rbnyq5fsv5hfpo2oknvet62t7y

A Big Data Architecture For Managing Oceans Of Data And Maritime Applications

Ioanna Lytra, Maria-Esther Vidal, Fabrizio Orlandi, Judie Attard
2017 Zenodo  
A Big Data Architecture for Managing Oceans of Data and Maritime Applications  ...  Thereafter, an architecture for data management of maritime data is described, together with examples of its application in real scenarios derived from the BigDataOcean European project.  ...  The data lake allows for large-scale and data stream management; thus addressing volume, velocity, and variety. b) Big Maritime Data Modules: The Big Maritime Data architecture comprises the following  ... 
doi:10.5281/zenodo.815360 fatcat:lxblkrfkozfqxbqq72aeaatcxi

Big Data Risk Analysis for rail safety? [chapter]

C van Gulijk, Peter Hughes, M Figueres-Esteban, M Dacre, C Harrison
2015 Safety and Reliability of Complex Engineered Systems  
This overview helps understand whether the big data approach is sensible for safety and risk sciences and how safety and risk management could benefit from it.  ...  DATA-REVOLUTION IN GB RAIL Big data and safety management in railways Computer scientists are quite clear in their belief that the data-revolution is coming of age.  ... 
doi:10.1201/b19094-88 fatcat:i57zmx4gsfh2vnetfppsbkcwgu

Review on Big Data Security Management

Mr. A. Antony Prakash
2018 International Journal for Research in Applied Science and Engineering Technology  
The evolution of data to become big data rises another important issue about data security and its management.  ...  Big data possess specific characteristics (volume, variety, velocity, and value -4V) that make it difficult to manage from security point of view.  ...  Security incident management Security incident management is the process of identifying, managing, recording and analyzing security threats or incidents in real-time.  ... 
doi:10.22214/ijraset.2018.3744 fatcat:6oby3ebvoba4be2olz3swadkda

An integrated big data analytics-enabled transformation model: Application to health care

Yichuan Wang, LeeAnn Kung, William Yu Chung Wang, Casey G. Cegielski
2018 Information & Management  
A big data analytics enabled transformation model based on practice-based view is developed which reveals the causal relationships among big data analytics capabilities, IT-enabled transformation practices  ...  Three significant path-to-value chains were identified for healthcare organizations by applying the model, which provides practical insights for managers.  ...  its architectural components.  ... 
doi:10.1016/ fatcat:2m5ol6dpurgenlwinm2tq6743a


S. Wu, R. C. Qu, C. L. Pan, Z. Y. Bao, X. J. Feng
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
With the rapid development of geomatics industry, it has accumulated a large amount of data such as digital city and national geoinformation survey, entered the geomatics big data era.  ...  , village, Township and county.It realizes the visualization of smart poverty alleviation with geomatics big data.It can poverty alleviation recommendation precisely.Aiming at this model,it proposes a  ...  It can dynamically expand and configure the cloud platform resources to support for the construction of this architecture .  ... 
doi:10.5194/isprs-archives-xlii-3-w10-45-2020 fatcat:yr6xvsizizdm3mrfimig53ymae

An Integrated IoT Architecture for Smart Metering

Jaime Lloret, Jesus Tomas, Alejandro Canovas, Lorena Parra
2016 IEEE Communications Magazine  
It is shown the communication protocol, the data format, the data gathering procedure and the decision system based on big data treatment.  ...  The architecture includes electricity, water and gas smart meters. Real measurements will show the benefits of the proposed IoT architecture for both the customers and the utilities.  ...  It was based on Google File System. It had Big [13] . Apache Spark doesn't define a cluster manager and a distributed storage system.  ... 
doi:10.1109/mcom.2016.1600647cm fatcat:bafncua5zrbl7p26qrhxb2ntcu

Platform Design of Collaborative Emergency Management Using Big Data

Yanxin Wang, Minfang Huang
2017 Innovative Computing Information and Control Express Letters, Part B: Applications  
The purpose of this paper is to illustrate the structure, process, interoperability, and tools for the realization of the collaborative emergency management (EM) platform using big data.  ...  First, it analyzes the characteristics, especially the processes before and after using big data in EM.  ...  System Architecture. The architecture of the collaborative emergency management system is shown in Figure 2 .  ... 
doi:10.24507/icicelb.08.03.665 fatcat:saack4bilzd5ldj6amekrjcdo4

A dynamically reconfigurable architecture for emergency and disaster management in ITS

Smail Niar, Arda Yurdakul, Osman Unsal, Tuna Tugcu, Aziz Yuceturk
2014 2014 International Conference on Connected Vehicles and Expo (ICCVE)  
The challenge in our framework is the proposition of a range of innovative solutions for intelligent and efficient traffic management in Emergency and Disaster Management (EDM).  ...  Processing data for local traffic management, packing data for global data processing, sending/receiving data to/from different layers in real time falls in the domain of big-data and stream processing  ...  Yet, these platforms have not been designed for streaming big data, which requires efficient management/acceleration of embedded database.  ... 
doi:10.1109/iccve.2014.7297593 dblp:conf/iccve/NiarYUTY14 fatcat:2laofv6ckvarthjxtoscyd4lli

European Surveillance Systems: Technological and Threat Assessment

Christos Ntrigkogias, Nineta Polemi
2016 International Journal of Intelligent Computing Research  
Modern European societies face growing terrorism threats alongside with other criminal activities and security incidents.  ...  Furthermore, the European zone experiences a migration crisis that reinforces the need for development of innovative surveillance systems.  ...  Data Management (Open data -Big data): The database model used for data storage and handling is a traditional RDBMS (MySQL Server v5.2.1) and it is not capable of efficiently adopting latest mechanisms  ... 
doi:10.20533/ijicr.2042.4655.2016.0095 fatcat:5gcvszfky5bmhlftedl4imay5y
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