Data Protection in a Post-Pandemic Society Laws, Regulations, Best Practices and Recent Solutions /
This book offers the latest research results and predictions in data protection with a special focus on post-pandemic society. This book also includes various case studies and applications on data protection. It includes the Internet of Things (IoT), smart cities, federated learning, Metaverse, cryp...
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| Outros Autores: | , , |
| Formato: | Recurso Electrónico livro electrónico |
| Idioma: | inglês |
| Publicado em: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Edição: | 1st ed. 2023. |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/978-3-031-34006-2 |
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| 245 | 1 | 0 | |a Data Protection in a Post-Pandemic Society |h [electronic resource] : |b Laws, Regulations, Best Practices and Recent Solutions / |c edited by Chaminda Hewage, Yogachandran Rahulamathavan, Deepthi Ratnayake. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2023. | |
| 300 | |a 1 online resource (XIV, 239 p. 47 illus.). |b 41 illus. in color. | ||
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| 505 | 0 | |a Chapter. 1. Post-Covid-19 Metaverse Cybersecurity and Data Privacy-Present and Future Challenges -- Chapter. 2. Keeping it Low-Key: Modern-day approaches to Privacy-Preserving Machine Learning -- Chapter. 3. Security Analysis of Android Hot Cryptocurrency Wallet Applications -- Chapter. 4. Exploring the Opportunities of Applying Digital Twins for Intrusion Detection in Industrial Control Systems of Production and Manufacturing – A Systematic Review -- Chapter. 5. Securing Privacy During a World Health Emergency: Exploring How to Create a Balance Between the Need to Save the World and People’s Right to Privacy -- Chapter. 6. Federated Learning: Data privacy and cyber security in edge-based machine learning Mobile Malware Detection Using Consortium -- Chapter. 7. Emerging Computer Security Laws and Regulations across the Globe: A Comparison between Sri Lankan and Contemporary International Computer Acts -- Chapter. 8. Legal Considerations and Ethical Challenges of Artificial Intelligence on Internet of Things and Smart Cities. | |
| 520 | |a This book offers the latest research results and predictions in data protection with a special focus on post-pandemic society. This book also includes various case studies and applications on data protection. It includes the Internet of Things (IoT), smart cities, federated learning, Metaverse, cryptography and cybersecurity. Data protection has burst onto the computer security scene due to the increased interest in securing personal data. Data protection is a key aspect of information security where personal and business data need to be protected from unauthorized access and modification. The stolen personal information has been used for many purposes such as ransom, bullying and identity theft. Due to the wider usage of the Internet and social media applications, people make themselves vulnerable by sharing personal data. This book discusses the challenges associated with personal data protection prior, during and post COVID-19 pandemic. Some of these challenges are caused by the technological advancements (e.g., Artificial Intelligence (AI)/Machine Learning (ML) and ChatGPT). In order to preserve the privacy of the data involved, there are novel techniques such as zero knowledge proof, fully homomorphic encryption, multi-party computations are being deployed. The tension between data privacy and data utility drive innovation in this area where numerous start-ups around the world have started receiving funding from government agencies and venture capitalists. This fuels the adoption of privacy-preserving data computation techniques in real application and the field is rapidly evolving. Researchers and students studying/working in data protection and related security fields will find this book useful as a reference. < . | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Data protection |x Law and legislation. | |
| 650 | 0 | |a Data protection. | |
| 650 | 0 | |a Financial risk management. | |
| 650 | 1 | 4 | |a Privacy. |
| 650 | 2 | 4 | |a Data and Information Security. |
| 650 | 2 | 4 | |a Risk Management. |
| 700 | 1 | |a Hewage, Chaminda. |e editor. |0 (orcid)0000-0001-7593-6661 |1 https://orcid.org/0000-0001-7593-6661 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Rahulamathavan, Yogachandran. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Ratnayake, Deepthi. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 776 | 0 | 8 | |i Printed edition: |z 9783031340055 |
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| 776 | 0 | 8 | |i Printed edition: |z 9783031340086 |
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