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This is an open access title available under the terms of a CC BY-NC-ND 4.0 License. It is free to read, download and share on Elgaronline.com. The Dictionary of Privacy, Data Protection and Information Security explains the complex technical terms, legal concepts, privacy management techniques, conceptual matters and vocabulary that inform public debate about privacy.
This glossary provides a central resource of definitions most commonly used in Nat. Institute of Standards and Technology (NIST) information security publications and in the Committee for National Security Systems (CNSS) information assurance publications. Each entry in the glossary points to one or more source NIST publications, and/or CNSSI-4009, and/or supplemental sources where appropriate. This is a print on demand edition of an important, hard-to-find publication.
Since the first edition was published, new technologies have come up, especially in the area of convergence of Computing and Communications, accompanied by a lot of new technical terms. This second expanded and updated edition has been worked out to cope with this situation. The number of entries has been incremented by 35%. With about 159,000 entries, this dictionary offers a valuable guide to navigate through the entanglement of German and English terminology. The lexicographic concept (indication of the subject field for every term, short definitions, references to synonyms, antonyms, general and derivative terms) has been maintained, as well as the tabular layout.
Business intelligence supports managers in enterprises to make informed business decisions in various levels and domains such as in healthcare. These technologies can handle large structured and unstructured data (big data) in the healthcare industry. Because of the complex nature of healthcare data and the significant impact of healthcare data analysis, it is important to understand both the theories and practices of business intelligence in healthcare. Theory and Practice of Business Intelligence in Healthcare is a collection of innovative research that introduces data mining, modeling, and analytic techniques to health and healthcare data; articulates the value of big volumes of data to health and healthcare; evaluates business intelligence tools; and explores business intelligence use and applications in healthcare. While highlighting topics including digital health, operations intelligence, and patient empowerment, this book is ideally designed for healthcare professionals, IT consultants, hospital directors, data management staff, data analysts, hospital administrators, executives, managers, academicians, students, and researchers seeking current research on the digitization of health records and health systems integration.
The use of information networks for business and government is expanding enormously. Government use of networks features prominently in plans to make government more efficient, effective, and responsive. But the transformation brought about by the networking also raises new concerns for the security and privacy of networked information. This Office of Technology Assessment (OTA) report was requested by the Senate Committee on Governmental Affairs and the House Subcommittee on Telecommunications and Finance. The report begins with background information and an overview of the current situation, a statement of the problems involved in safeguarding unclassified networked information, and a summary of policy issues and options. The major part of the report is then devoted to detailed discussions of policy issues in three areas: (1) cryptography policy, including federal information processing standards and export controls; (2) guidance on safeguarding unclassified information in federal agencies; and (3) legal issues and information security, including electronic commerce, privacy, and intellectual property. Appendices include Congressional letters of request; the Computer Security Act and related documents; evolution of the digital signature standard; and lists of workshop participants, reviews, and other contributors. An index is provided. A separately published eight-page OTA Report Summary is included. (JLB).
This innovative and original book explores the relationship between blockchain and antitrust, highlighting the mutual benefits that stem from cooperation between the two and providing a unique perspective on how law and technology could cooperate.
Is it possible to achieve cybersecurity while safeguarding the fundamental rights to privacy and data protection? Addressing this question is crucial for contemporary societies, where network and information technologies have taken centre stage in all areas of communal life. This timely book answers the question with a comprehensive approach that combines legal, policy and technological perspectives to capture the essence of the relationship between cybersecurity, privacy and data protection in EU law. The book explores the values, interconnections and tensions inherent to cybersecurity, privacy and data protection within the EU constitutional architecture and its digital agendas. The work's novel analysis looks at the interplay between digital policies, instruments including the GDPR, NIS Directive, cybercrime legislation, e-evidence and cyber-diplomacy measures, and technology as a regulatory object and implementing tool. This original approach, which factors in the connections between engineering principles and the layered configuration of fundamental rights, outlines all possible combinations of the relationship between cybersecurity, privacy and data protection in EU law, from clash to complete reconciliation. An essential read for scholars, legal practitioners and policymakers alike, the book demonstrates that reconciliation between cybersecurity, privacy and data protection relies on explicit and brave political choices that require an active engagement with technology, so as to preserve human flourishing, autonomy and democracy.
As identity theft and corporate data vulnerability continue to escalate, corporations must protect both the valuable consumer data they collect and their own intangible assets. Both Congress and the states have passed laws to improve practices, but the rate of data loss persists unabated and companies remain slow to invest in information security. Engaged in a bottom-up investigation, Harboring Data reveals the emergent nature of data leakage and vulnerability, as well as some of the areas where our current regulatory frameworks fall short. With insights from leading academics, information security professionals, and other area experts, this original work explores the business, legal, and social dynamics behind corporate information leakage and data breaches. The authors reveal common mistakes companies make, which breaches go unreported despite notification statutes, and surprising weaknesses in the federal laws that regulate financial data privacy, children's data collection, and health data privacy. This forward-looking book will be vital to meeting the increasing information security concerns that new data-intensive business models will have.
This book comprises the proceedings of ICITCS 2021. It aims to provide a snapshot of the latest issues encountered in IT convergence and security. The book explores how IT convergence and security are core to most current research, industrial, and commercial activities. Topics covered in this book include machine learning & deep learning, communication and signal processing, computer vision and applications, future network technology, artificial intelligence and robotics, software engineering and knowledge engineering, intelligent vehicular networking and applications, health care and wellness, web technology and applications, Internet of things, and security & privacy. Through this book, readers gain an understanding of the current state-of-the-art information strategies and technologies in IT convergence and security. The book is of use to researchers in academia, industry, and other research institutes focusing on IT convergence and security.