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Opis

This book offers the latest research results in data protection with a special focus on post-pandemic society. It presents state-of-the art content and provides an in-depth overview of the basic background in this related field. Practical areas in both privacy and security are addressed as well as connections directly linked to data protection frontiers. This book also offers an excellent foundation on the fundamental concepts and principles of privacy, security, and risks associated with emerging platforms such as the Metaverse. It guides the reader through the core ideas with relevant ease. Data protection has burst onto the computer security scene due to the increased interest in securing personal data. As data protection has evolved as well as the need for more in-depth solutions in protecting sensitive personal identifiable information (PII). This book includes various case studies and applications on data protection. It includes the Internet of Things related areas, such as smart cities, federated learning, cryptography and cybersecurity. Data protection is a key aspect of information security where personal and business data need to be protected from unauthorized access and modification. The number of emerging digital technologies that collect, transmit, and process privacy-sensitive data is on the rise. These technologies are ranging from the blockchain applications that perform private business data transaction on public ledger to Internet of Things collect personal healthcare data, finance data, traffic data and send them to cloud computers to perform machine learning inferences. The protection of personal data receives significant attention due to the increased number of violations of subjects' rights. The stolen personal information has been used for many purposes such as ransom, bullying and identity theft. Due to the wider usage of Internet and social media applications, people make themselves vulnerable by sharing personal data. This book discusses key issues and 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), ChatGPT and Metaverse technologies). And certain issues are due to the surveillance measures and significant online presence during the COVID-19 pandemic.With the increased awareness of data protection and existing laws, researchers and developers were eager to address data privacy in different applications. 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 advanced-level students studying or working in data protection and related security fields will find this book useful as a reference. Decision makers, managers and professionals working within these related fields will also want to purchase.        

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Computer security Privacy & data protection

• Pełny tytuł: Data Protection in a Post-Pandemic Society
• Podtytuł: Law Regulations, Best Practices and Recent Solutions
• Autor: Chaminda Hewage, Yogachandran Rahulamathavan, Deepthi Ratnayake
• Język: Angielski
• Oprawa: Twarda
• Liczba stron: 241
• EAN: 9783031340055
• ID: 43312625
• Wydawca: Springer, Berlin
• Wymiary: 235 × 155 mm
• Data wydania: 20. August 2023

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