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نتیجه جستجو - GDPR

تعداد مقالات یافته شده: 27
ردیف عنوان نوع
21 Does data portability facilitate entry?
آیا قابلیت انتقال اطلاعات ورود را تسهیل می کند؟-2020
Data portability rules are generally thought to encourage consumers to switch between different service providers and facilitate entry of new firms. Some of these rules, however, only apply to data “provided by”the consumer (data subject), e.g., purchasing patterns. Data “derived by”a firm (data controller) with the help of data analytics, e.g., recom- mendations derived from purchasing patterns, does not fall under data portability rules. We show that, under the current legislation along with extensive use of data analytics, data portability may hinder switching and entry due to the demand-expansion effect: the prospect of easier switching due to data portability may entice consumers to provide even more data to the incumbent, which strengthens the incumbency advantage. Hence, the ef- fectiveness of data portability in fostering competition will depend on what types of data are portable. More generally, in analysing the effectiveness of polices aiming at reducing ex post switching costs, it is important to take into account their impacts on ex ante actions that build up endogenous entry barrier.
Keywords: Data portability | GDPR | Entry barrier
مقاله انگلیسی
22 EU GDPR or APEC CBPR? A comparative analysis of the approach of the EU and APEC to cross border data transfers and protection of personal data in the IoT era
GDPR EU یا APEC CBPR؟ تجزیه و تحلیل مقایسه ای از رویکرد اتحادیه اروپا و APEC برای انتقال اطلاعات مرزی و محافظت از داده های شخصی در دوره IoT-2019
This article examines the two major international data transfer schemes in existence today – the European Union (EU) model which at present is effectively the General Data Protection Regulation (GDPR), and the Asia-Pacific Economic Cooperation (APEC) Cross Border Privacy Rules system (CBPR), in the context of the Internet of Things (IoT). While IoT data ostensibly relates to things i.e. products and services, it impacts individ- uals and their data protection and privacy rights, and raises compliance issues for corpora- tions especially in relation to international data flows. The GDPR regulates the processing of personal data of individuals who are EU data subjects including cross border data trans- fers. As an EU Regulation, the GDPR applies directly as law to EU member nations. The GDPR also has extensive extraterritorial provisions that apply to processing of personal data outside the EU regardless of place of incorporation and geographical area of operation of the data controller/ processor. There are a number of ways that the GDPR enables lawful international transfer of personal data including schemes that are broadly similar to APEC CBPR. APEC CBPR is the other major regional framework regulating transfer of personal data between APEC member nations. It is essentially a voluntary accountability scheme that initially requires acceptance at country level, followed by independent certification by an accountability agent of the organization wishing to join the scheme. APEC CBPR is viewed by many in the United States of America (US) as preferable to the EU approach because CBPR is considered more conducive to business than its counterpart schemes under the GDPR, and therefore is regarded as the scheme most likely to prevail. While there are broad areas of similarity between the EU and APEC approaches to data protection in the context of cross border data transfer, there are also substantial differences. This paper considers the similarities and major differences, and the overall suitability of the two models for the era of the Internet of Things (IoT) in which large amounts of personal data are processed on an on-going basis from connected devices around the world. This is the first time the APEC and GDPR cross-border data schemes have been compared in this way. The paper concludes with the author expressing a view as to which scheme is likely to set the global standard
Keywords: IoT data | GDPR | CBPR | transborder data flows | data protection | privacy | global standard
مقاله انگلیسی
23 Medical research, Big Data and the need for privacy by design
تحقیقات پزشکی، داده های بزرگ و نیاز به حریم خصوصی توسط طراحی-2019
Medical research data is sensitive personal data that needs to be protected from unauthorized access and unintentional disclosure. In a research setting, sharing of (big) data within the scientific community is necessary in order to make progress and maximize scientific benefits derived from valuable and costly data. At the same time, convincingly protecting the privacy of people (patients) participating in medical research is a prerequisite for maintaining trust and willingness to share. In this commentary, we will address this issue and the pitfalls involved in the context of the PEP project1 that provides the infrastructure for the Personalized Parkinson’s Project,2 a large cohort study on Parkinson’s disease from Radboud University Medical Center (Radboudumc), in cooperation with Verily life Sciences, an Alphabet subsidiary.
Keywords:Big Data | GDPR compliance | informed consent | medical cohort study | polymorphic encryption | privacy by design
مقاله انگلیسی
24 PrivySharing: A blockchain-based framework for privacy-preserving and secure data sharing in smart cities
اشتراک گذاری : یک چارچوب مبتنی بر بلاکچین برای حفظ حریم خصوصی و به اشتراک گذاری امن داده ها در شهرهای هوشمند-2019
The ubiquitous use of Internet of Things (IoT) ranges from industrial control systems to e-Health, e- commerce, smart cities, agriculture, supply chain management, smart cars, cyber-physical systems and a lot more. However, the data collected and processed by IoT systems especially the ones with central- ized control are vulnerable to availability, integrity, and privacy threats. Hence, we present “PrivyShar- ing,”a blockchain-based innovative framework for privacy-preserving and secure IoT data sharing in a smart city environment. The proposed scheme is distinct from existing strategies on many aspects. The data privacy is preserved by dividing the blockchain network into various channels, where every chan- nel comprises a finite number of authorized organizations and processes a specific type of data such as health, smart car, smart energy or financial details. Moreover, access to users’ data within a channel is controlled by embedding access control rules in the smart contracts. In addition, data within a channel is further isolated and secured by using private data collection and encryption respectively. Likewise, the REST API that enables clients to interact with the blockchain network has dual security in the form of an API Key and OAuth 2.0. The proposed solution conforms to some of the significant requirements outlined in the European Union General Data Protection Regulation. We also present a system of reward in the form of a digital token named “PrivyCoin”for users sharing their data with stakeholders/third parties. Lastly, the experimental outcomes advocate that a multi-channel blockchain scales well as compared to a single-channel blockchain system
Keywords: Internet of Things | Smart city | Security | and privacy | Blockchain | EU GDPR Compliance
مقاله انگلیسی
25 Privacy-aware Big Data Analytics as a service for public health policies in smart cities
تجزیه و تحلیل داده های بزرگ تجزیه و تحلیل اطلاعات خصوصی به عنوان یک سرویس برای سیاست های بهداشت عمومی در شهرهای هوشمند-2018
Smart cities make use of a variety of technologies, protocols, and devices to support and improve the quality of everyday activities of their inhabitants. An important aspect for the development of smart cities are innovative public policies, represented by requirements, actions, and plans aimed at reaching a specific goal for improving the societys welfare. With the advent of Big Data, the definition of such policies could be improved and reach an unprecedented effectiveness on several dimensions, e.g., social or economic. On the other hand, however, the safeguard of the privacy of its citizens is part of the quality of life of a smart city. In this paper, we focus on balancing quality of life and privacy protection in smart cities by providing a new Big Data-assisted public policy making process implementing privacy-by-design. The proposed approach is based on a Big Data Analytics as a Service approach, which is driven by a Privacy Compliance Assessment derived from the European Unions GDPR, and discussed in the context of a public health policy making process.
Keywords: Big Data , Privacy , Public policy making
مقاله انگلیسی
26 A comparison of data protection legislation and policies across the EU
مقایسه مقررات و سیاست های حفاظت از اطلاعات در سراسر اتحادیه اروپا-2018
Although the protection of personal data is harmonized within the EU by Directive 95/46/ EC and will be further harmonized by the General Data Protection Regulation (GDPR) in 2018, there are significant differences in the ways in which EU member states imple mented the protection of privacy and personal data in national laws, policies, and practices. This paper presents the main findings of a research project that compares the protection of privacy and personal data in eight EU member states: France, Germany, the UK, Ireland, Romania, Italy, Sweden, and the Netherlands. The comparison focuses on five major themes: awareness and trust, government policies for personal data protection, the appli cable laws and regulations, implementation of those laws and regulations, and supervision and enforcement. The comparison of privacy and data protection regimes across the EU shows some remarkable findings, revealing which countries are frontrunners and which countries are lagging behind on specific aspects. For instance, the roles of and interplay between gov ernments, civil rights organizations, and data protections authorities vary from country to country. Furthermore, with regard to privacy and data protection there are differences in the intensity and scope of political debates, information campaigns, media attention, and public debate. New concepts like privacy impact assessments, privacy by design, data breach notifications and big data are on the agenda in some but not in all countries. Significant differences exist in (the levels of) enforcement by the different data protection authorities, due to different legal competencies, available budgets and personnel, policies, and cultural factors.
Keywords: Privacy ، Data protection ، Comparative law ، Personal data ، Data protection authorities
مقاله انگلیسی
27 داده کاوی iCLIC و کارگاه به اشتراک گذاری داده ها: داده کاوی حال و آینده و به اشتراک گذاری داده ها در اتحادیه اروپا
سال انتشار: 2017 - تعداد صفحات فایل pdf انگلیسی: 9 - تعداد صفحات فایل doc فارسی: 27
همانگونه که در محوطه دانشگاه هایفیلد دانشگاه ساوت هامپتون و به میزبانی iCLIC برگزار شد، هسته میان رشته ای در قانون، اینترنت و فرهنگ، داده کاوی و کارگاه اشتراک گذاری داده ها، شرکت کنندگان و سخنرانانی از صنعت، دولت، دانشگاه و طیف وسیعی از عموم رشته ها را گرد هم آورد. این کارگاه دو جلسه را در برمی گرفت، هر یک شامل یک سخنرانی اصلی و یک گروه ارتباطی می شد. اولین جلسه توسط النورا روساتی ریاست شد و به حقوق کپی رایت و پایگاه داده ها، داده کاوی اطلاعات و به اشتراک گذاری داده ها پرداخته شد. جلسه دوم، به ریاست سوفی اِستالا بوردیلون در حفاظت از داده ها، داده کاوی و به اشتراک گذاری داده ها متمرکز شده بود. گزارش زیر هر دو جلسه را پوشش می دهد و بحث گروهی را در اینباره صورت داده و به پرسش و پاسخ می پردازد.
کلمات کلیدی: داده کاوی | کپی رایت | حقوق پایگاه داده | اشتراک گذاری تاریخ | حفاظت از داده ها | حقوق مالکیت معنوی | مقررات حفاظت داده های عمومی | (EU-GDPR) | پاکسازی وب
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