Research Topic

Privacy and Security Challenges of Emerging Big Data Applications in the era of COVID-19

About this Research Topic

The urgency of the need to manage and find cures for the COVID-19 pandemic has made it necessary to share information in large volumes between national and international organizations (e.g., virus and treatment data, contact tracing, multimedia data generated by telepresence applications such as Zoom, Teams, etc.). The sharing of information will lead to the transfer of big data, which inevitably will infringe on individual privacy. Therefore, the transfer of big data in this way whether permissible under extenuation circumstances or not, requires added responsibility and the need to protect privacy cannot be ignored. This is just one recent example use of Big Data in a pandemic situation and we may need more efficient organizational and technical measures to tackle security and privacy issues of Big Data applications in the era of COVID-19. The increased use of Internet, IoE and IoT sensors, advancement of 5G networks and increased computing powers at edge devices will make the problem worse. Furthermore, Big Data privacy and security solutions during the period of COVID-19 need brand new start to comply with more stern data security laws and regulations (e.g. GDPR) across the world. The purpose of this special issue is to publish high-quality research papers reporting original research as well as review articles that highlight the security and privacy impact of emerging Big Data applications and use cases and provide new ideas and solutions for meeting such challenges during the era of COVID-19 pandemic.

We are keen to see submissions on the following privacy and security issues of Big Data, but submissions reporting work in other important topics in information security and usability are also welcome:
- Security and privacy challenges of emerging applications of Big Data (5G, Contact tracing for COVID-19 pandemic, etc.)
- Big Data challenges associated with surveillance approaches associated with COVID-19
- Security and privacy of Big Data associated with IoT and IoE
- Big Data applications for E-Learning and E-Collaboration in the era of COVID-19
- Data protection vs Big Data – Organizational (Policy) and technical solutions
- Revisiting GDPR to facilitate Big Data in the era of COVID-19
- Security and privacy issues of managing Big Data in pandemics such as COVID-19
- Security and privacy of multimedia Big Data applications
- Security, privacy, and sustainability of health-related Big Data – SARS-CoV-2 perspective
- Case studies experience reports on big data security, privacy, and sustainability
- Security and privacy best practices for Big Data
- AI and Machine Learning to manage Big Data security and privacy
- Managing privacy and security of Big data in public sector
- Challenges for Data Centres to manage Big Data generated during COVID-19


Keywords: cybersecurity, privacy, covid-19, contact tracing, IoT, data protection, GDPR, data centres, big data


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

The urgency of the need to manage and find cures for the COVID-19 pandemic has made it necessary to share information in large volumes between national and international organizations (e.g., virus and treatment data, contact tracing, multimedia data generated by telepresence applications such as Zoom, Teams, etc.). The sharing of information will lead to the transfer of big data, which inevitably will infringe on individual privacy. Therefore, the transfer of big data in this way whether permissible under extenuation circumstances or not, requires added responsibility and the need to protect privacy cannot be ignored. This is just one recent example use of Big Data in a pandemic situation and we may need more efficient organizational and technical measures to tackle security and privacy issues of Big Data applications in the era of COVID-19. The increased use of Internet, IoE and IoT sensors, advancement of 5G networks and increased computing powers at edge devices will make the problem worse. Furthermore, Big Data privacy and security solutions during the period of COVID-19 need brand new start to comply with more stern data security laws and regulations (e.g. GDPR) across the world. The purpose of this special issue is to publish high-quality research papers reporting original research as well as review articles that highlight the security and privacy impact of emerging Big Data applications and use cases and provide new ideas and solutions for meeting such challenges during the era of COVID-19 pandemic.

We are keen to see submissions on the following privacy and security issues of Big Data, but submissions reporting work in other important topics in information security and usability are also welcome:
- Security and privacy challenges of emerging applications of Big Data (5G, Contact tracing for COVID-19 pandemic, etc.)
- Big Data challenges associated with surveillance approaches associated with COVID-19
- Security and privacy of Big Data associated with IoT and IoE
- Big Data applications for E-Learning and E-Collaboration in the era of COVID-19
- Data protection vs Big Data – Organizational (Policy) and technical solutions
- Revisiting GDPR to facilitate Big Data in the era of COVID-19
- Security and privacy issues of managing Big Data in pandemics such as COVID-19
- Security and privacy of multimedia Big Data applications
- Security, privacy, and sustainability of health-related Big Data – SARS-CoV-2 perspective
- Case studies experience reports on big data security, privacy, and sustainability
- Security and privacy best practices for Big Data
- AI and Machine Learning to manage Big Data security and privacy
- Managing privacy and security of Big data in public sector
- Challenges for Data Centres to manage Big Data generated during COVID-19


Keywords: cybersecurity, privacy, covid-19, contact tracing, IoT, data protection, GDPR, data centres, big data


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

26 December 2020 Manuscript
25 April 2021 Manuscript Extension

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

26 December 2020 Manuscript
25 April 2021 Manuscript Extension

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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