Recent security issues in Big Data: from past to the future of information systems

Telecom ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 48-67 ◽  
Author(s):  
Eoin O’Connell ◽  
Denis Moore ◽  
Thomas Newe

5G networks will change several industries, including manufacturing. 5G has the potential to become the future communication platform of choice for many industries and in particular the manufacturing sector, driving the future of Industry 4.0 and smart manufacturing. The vision of a “factory of the future” is now tangible for many industry sectors. The ability to cope with increased bandwidth, latency requirements, big-data generated from more connected equipment and the data processing required on the factory floor is a massive challenge for industry. This paper discusses how 5G can impact a manufacturing environment, the standards and technical requirements needed to meet the demands of utilizing 5G, and the security issues that need to be addressed if planning a 5G deployment.


MedienJournal ◽  
2017 ◽  
Vol 38 (4) ◽  
pp. 50-61 ◽  
Author(s):  
Jan Jagodzinski

This paper will first briefly map out the shift from disciplinary to control societies (what I call designer capitalism, the idea of control comes from Gilles Deleuze) in relation to surveillance and mediation of life through screen cultures. The paper then shifts to the issues of digitalization in relation to big data that have the danger of continuing to close off life as zoë, that is life that is creative rather than captured via attention technologies through marketing techniques and surveillance. The last part of this paper then develops the way artists are able to resist the big data archive by turning the data in on itself to offer viewers and participants a glimpse of the current state of manipulating desire and maintaining copy right in order to keep the future closed rather than being potentially open.


2020 ◽  
Author(s):  
Cátia Santos-Pereira

BACKGROUND GDPR was scheduled to be formally adopted in 2016 with EU member states being given two years to implement it (May 2018). Given the sensitive nature of the personal data that healthcare organization process on a 24/7 basis, it is critical that the protection of that data in a hospital environment is given the high priority that data protection legislation (GDPR) requires. OBJECTIVE This study addresses the state of Public Portuguese hospitals regarding GDPR compliance in the moment of GDPR preparation period (2016-2018) before the enforcement in 25 May 2018, and what activities have started since then. The study focuses in three GDPR articles namely 5, 25 and 32, concerning authentication security, identity management processes and audit trail themes. METHODS The study was conducted between 2017 and 2019 in five Portuguese Public Hospitals (each different in complexity). In each hospital, six categories of information systems critical to health institutions were included in the study, trying to cover the main health information systems available and common to hospitals (ADT, EPR, PMS, RIS, LIS and DSS). It was conducted interviews in two phases (before and after GDPR enforcement) with the objective to identify the maturity of information systems of each hospital regarding authentication security, identity management processes and traceability and efforts in progress to avoid security issues. RESULTS A total of 5 hospitals were included in this study and the results of this study highlight the hospitals privacy maturity, in general, the hospitals studied where very far from complying with the security measures selected (before May 2018). Session account lock and password history policy were the poorest issues, and, on the other hand, store encrypted passwords was the best issue. With the enforcement of GDPR these hospitals started a set of initiatives to fill this gap, this is made specifically for means of making the whole process as transparent and trustworthy as possible and trying to avoid the huge fines. CONCLUSIONS We are still very far from having GDPR compliant systems and Institutions efforts are being done. The first step to align an organization with GDPR should be an initial audit of all system. This work collaborates with the initial security audit of the hospitals that belong to this study.


Author(s):  
Michael Goul ◽  
T. S. Raghu ◽  
Ziru Li

As procurement organizations increasingly move from a cost-and-efficiency emphasis to a profit-and-growth emphasis, flexible data architecture will become an integral part of a procurement analytics strategy. It is therefore imperative for procurement leaders to understand and address digitization trends in supply chains and to develop strategies to create robust data architecture and analytics strategies for the future. This chapter assesses and examines the ways companies can organize their procurement data architectures in the big data space to mitigate current limitations and to lay foundations for the discovery of new insights. It sets out to understand and define the levels of maturity in procurement organizations as they pertain to the capture, curation, exploitation, and management of procurement data. The chapter then develops a framework for articulating the value proposition of moving between maturity levels and examines what the future entails for companies with mature data architectures. In addition to surveying the practitioner and academic research literature on procurement data analytics, the chapter presents detailed and structured interviews with over fifteen procurement experts from companies around the globe. The chapter finds several important and useful strategies that have helped procurement organizations design strategic roadmaps for the development of robust data architectures. It then further identifies four archetype procurement area data architecture contexts. In addition, this chapter details exemplary high-level mature data architecture for each archetype and examines the critical assumptions underlying each one. Data architectures built for the future need a design approach that supports both descriptive and real-time, prescriptive analytics.


2015 ◽  
Vol 19 (10) ◽  
pp. 17-35 ◽  

Amplifying Spatial Awareness via GIS — Tech which brings Healthcare Management, Preventative & Predictive Measures under the same Cloud When it is not just about size, you gotta' be Smart, too! Chew on It! How Singapore-based health informatics company MHC Asia Group crunches big-data to uncover your company's health Digital tool when well-used, it is Passion Carving the Digital Route to Wellness Big Data, Bigger Disease Management and Current preparations to manage the Future Health of Singaporeans A Conversation with Mr Arun Puri Extreme Networks: Health Solutions Big Data in Clinical Research Sector


2012 ◽  
Vol 27 (2) ◽  
pp. 96-99 ◽  
Author(s):  
Salvatore T. March ◽  
Fred Niederman

We must look ahead at today's radical changes in technology, not just as forecasters but as actors charged with designing and bringing about a sustainable and acceptable world. New knowledge gives us power for change: for good or ill, for knowledge is neutral. The problems we face go well beyond technology: problems of living in harmony with nature, and most important, living in harmony with each other. Information technology, so closely tied to the properties of the human mind, can give us, if we ask the right questions, the special insights we need to advance these goals. Herbert A. Simon (2000)


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