The role of app intermediaries in protecting data privacy

2017 ◽  
Vol 25 (2) ◽  
pp. 85-114 ◽  
Author(s):  
Adrian Fong
Keyword(s):  
Data Privacy

Data-driven sector coupling in 5G-based smart networks

2021 ◽  
Vol 22 (1) ◽  
pp. 53-68
Author(s):  
Guenter Knieps
Keyword(s):  
Data Privacy ◽  
Service Providers ◽  
Policy Implications ◽  
Network Industries ◽  
5G Networks ◽  
Privacy And Security ◽  
Open Set ◽  
Application Service ◽  
Downstream Application

5G attains the role of a GPT for an open set of downstream IoT applications in various network industries and within the app economy more generally. Traditionally, sector coupling has been a rather narrow concept focusing on the horizontal synergies of urban system integration in terms of transport, energy, and waste systems, or else the creation of new intermodal markets. The transition toward 5G has fundamentally changed the framing of sector coupling in network industries by underscoring the relevance of differentiating between horizontal and vertical sector coupling. Due to the fixed mobile convergence and the large open set of complementary use cases, 5G has taken on the characteristics of a generalized purpose technology (GPT) in its role as the enabler of a large variety of smart network applications. Due to this vertical relationship, characterized by pervasiveness and innovational complementarities between upstream 5G networks and downstream application sectors, vertical sector coupling between the provider of an upstream GPT and different downstream application industries has acquired particular relevance. In contrast to horizontal sector coupling among different application sectors, the driver of vertical sector coupling is that each of the heterogeneous application sectors requires a critical input from the upstream 5G network provider and combines this with its own downstream technology. Of particular relevance for vertical sector coupling are the innovational complementarities between upstream GPT and downstream application sectors. The focus on vertical sector coupling also has important policy implications. Although the evolution of 5G networks strongly depends on the entrepreneurial, market-driven activities of broadband network operators and application service providers, the future of 5G as a GPT is heavily contingent on the role of frequency management authorities and European regulatory policy with regard to data privacy and security regulations.

Biobanking for Neurodegenerative Diseases: Challenge for Translational Research and Data Privacy

2021 ◽  
pp. 107385842110366
Author(s):  
Emilia Giannella ◽  
Valentino Notarangelo ◽  
Caterina Motta ◽  
Giulia Sancesario
Keyword(s):  
Neurodegenerative Diseases ◽  
Translational Research ◽  
Data Protection ◽  
Biological Samples ◽  
Data Privacy ◽  
Neurological Diseases ◽  
Great Effort ◽  
General Data Protection Regulation ◽  
In Silico Studies

Biobanking has emerged as a strategic challenge to promote knowledge on neurological diseases, by the application of translational research. Due to the inaccessibility of the central nervous system, the advent of biobanks, as structure collecting biospecimens and associated data, are essential to turn experimental results into clinical practice. Findings from basic research, omics sciences, and in silico studies, definitely require validation in clinically well-defined cohorts of patients, even more valuable when longitudinal, or including preclinical and asymptomatic individuals. Finally, collecting biological samples requires a great effort to guarantee respect for transparency and protection of sensitive data of patients and donors. Since the European General Data Protection Regulation 2016/679 has been approved, concerns about the use of data in biomedical research have emerged. In this narrative review, we focus on the essential role of biobanking for translational research on neurodegenerative diseases. Moreover, we address considerations for biological samples and data collection, the importance of standardization in the preanalytical phase, data protection (ethical and legal) and the role of donors in improving research in this field.

Data Security for Connected Governments and Organisations

2021 ◽  
pp. 229-251
Author(s):  
Heru Susanto ◽  
Leu Fang Yie ◽  
Didi Rosiyadi ◽  
Akbari Indra Basuki ◽  
Desi Setiana
Keyword(s):  
Artificial Intelligence ◽  
Early Warning ◽  
Data Security ◽  
Data Privacy ◽  
Government Agencies ◽  
Security Measures ◽  
Security Issues ◽  
The Impact ◽  
Distributed Technologies

Digital ecosystems have grown rapidly over the years, and governments are investing in digital provision for their processes and services. Despite the advantages of distributed technologies, there are many security issues as well that result in breaches of data privacy with serious impact including legal and reputational implications. To deal with such threats, government agencies need to thoughtfully improve their security defences to protect data and systems by using automation and artificial intelligence (AI), as well as easing the data security measures including early warning of threats and detection. This study provides a comprehensive view of AI and automaton to highlight challenges and issues concerning data security and suggests steps to combat the issues. The authors demonstrate the role of AI-driven security tools and automation to mitigate the impact of data breaches to also propose recommendations for government agencies to enhance their data security protection.

scholarly journals A Research on Encryption Methods and Account Security

2020 ◽  
Vol 3 (1) ◽  
pp. 385-394
Author(s):  
Rıdvan Yayla ◽  
Hakan Üçgün ◽  
Sefa Tunçer
Keyword(s):  
Virtual World ◽  
Data Privacy ◽  
Robot Control ◽  
Cyber Attacks ◽  
Global Pandemic ◽  
Encryption Algorithms ◽  
Asymmetric Encryption ◽  
Authentication Security ◽  
Current Systems

Nowadays, the virtual world is widely used by increasing of the precautions for the global pandemic. Therefore, the membership systems that are created on the basis of the user accounts have an important role in order to meet the increasing requirements. The most important requirements of the current systems are privacy and delivering of the datas as seamlessly for sending of the datas as security and receiving of the end users datas. The security of an account is enhanced by additional measures such as sms systems, authentication, security question, and robot control along with password complexity to prevent cyber attacks. Symmetric and asymmetric encryption algorithms are composed of easy and convenient methods for data privacy and integrity. In this study, the validity of the used encryption methods in today for the security of user accounts, which are becoming widespread in every field, is analyzed and the role of password complexity in account security is investigated.

scholarly journals Factors Influencing the Adoption Intention of Blockchain and Internet-of-Things Technologies for Sustainable Blood Bank Management

2021 ◽  
Vol 16 (4) ◽  
pp. 1-21
Author(s):  
Sachin Kuberkar ◽  
Tarun Kumar Singhal
Keyword(s):  
Internet Of Things ◽  
Technology Acceptance ◽  
Data Privacy ◽  
National Level ◽  
Appropriate Technology ◽  
Role Of Government ◽  
Factors Influencing ◽  
Acceptance Model ◽  
Adoption Intention

Owing chiefly to the lack of suitable technology solutions, India is experiencing both shortage and wastage of blood units. In addressing such a challenge, we explore the unique role of Blockchain and Internet-of-things technologies in the overall blood supply chain management as an appropriate technology solution. Our study employs an integrated Task-Technology Fit and Technology Acceptance Model to empirically test and identify key factors influencing the adoption intention of the Blockchain and Internet-of-things enabled system. With the need to preserve donor and recipient data integrity and data privacy, the respective state and national health departments strictly regulate blood banks. Accordingly, our study also explores the role of government in supporting and overseeing security concerns in the future adoption of the Blockchain and Internet-of-things technologies. Finally, a solution based on the Blockchain and Internet-of-things technologies to ensure the sufficient availability of blood units at the national level is envisioned.

User Attitudes to E-Government Citizen Services in Europe

2011 ◽  
pp. 2634-2642
Author(s):  
Jeremy Millard
Keyword(s):  
Data Privacy ◽  
The Internet ◽  
Face To Face ◽  
Government Services ◽  
New Information ◽  
User Attitudes ◽  
Potential Demand ◽  
The Uk ◽  
European Union Member States

In 2005, the eUSER project undertook a questionnaire survey covering about 10,000 households in 10 European Union member states, the purpose of which was to provide some of the first systematic evidence in Europe of citizen user behaviour and their attitudes to the use of public services, and particularly the role of e-services in this context. The survey focused on a number of themes — the public’s use of government services, the different channels (or media) employed, the nature of potential future demand for e-government, the barriers and experiences in using e-government, and the socio-economic attributes of e-government users compared with non-users. The results provide important new information on the role that the Internet is now playing in the delivery and take-up of government services by European citizens. Face-to-face contact is still the most important channel for contacting government in Europe. In some countries (e.g., the UK), however, telephone and post have overtaken face-to-face. Results also show that potential demand for e-government services is about 50% of all government users and could be higher. One quarter of individual e-government users have acted as intermediaries for family members or friends, and one quarter have also done so on behalf of their employer. Most barriers that users anticipate they will meet when using e-government relate to difficulty in actually starting, with a feeling that face-to-face is better and the fear about data privacy important. However, once citizens have used e-government services, the barriers appear less, though still important, and relate mainly to the difficulty of feeling left alone with problems or questions.

Data Security for Connected Governments and Organisations

2022 ◽  
pp. 191-213
Author(s):  
Heru Susanto ◽  
Leu Fang Yie ◽  
Didi Rosiyadi ◽  
Akbari Indra Basuki ◽  
Desi Setiana
Keyword(s):  
Artificial Intelligence ◽  
Early Warning ◽  
Data Security ◽  
Data Privacy ◽  
Government Agencies ◽  
Security Measures ◽  
Security Issues ◽  
The Impact ◽  
Distributed Technologies

Digital ecosystems have grown rapidly over the years, and governments are investing in digital provision for their processes and services. Despite the advantages of distributed technologies, there are many security issues as well that result in breaches of data privacy with serious impact including legal and reputational implications. To deal with such threats, government agencies need to thoughtfully improve their security defences to protect data and systems by using automation and artificial intelligence (AI), as well as easing the data security measures including early warning of threats and detection. This study provides a comprehensive view of AI and automaton to highlight challenges and issues concerning data security and suggests steps to combat the issues. The authors demonstrate the role of AI-driven security tools and automation to mitigate the impact of data breaches to also propose recommendations for government agencies to enhance their data security protection.

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