دانلود و نمایش مقالات مرتبط با GDPR::صفحه 1
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نتیجه جستجو - GDPR

تعداد مقالات یافته شده: 27
ردیف عنوان نوع
1 Efficient biometric-based identity management on the Blockchain for smart industrial applications
مدیریت هویت مبتنی بر بیومتریک کارآمد در Blockchain برای کاربردهای صنعتی هوشمند-2021
In this work, we propose a new Blockchain-based Identity Management system for smart industry. First, we describe an efficient biometric-based anonymous credential scheme, which supports selective disclosure, suspension/thaw and revocation of credentials/entities. Our system provides non-transferability through a freshly computed hidden biometric attribute, which is generated using a secure fuzzy extractor during each authentication. This mechanism combined with offchain storage guarantees GDPR compliance, which is required for protecting user’s data. We define blinded (Brands) DLRep scheme to provide multi-show unlinkability, which is a lacking feature in Brands’ credential based systems. For larger organizations, we re-design the system by replacing the Merkle Tree with an accumulator to improve scalability. The new system enables auditing by adapting the standard Industrial IoT (IIoT) Identity Management Lifecycle to Blockchain. Finally, we show that the new proposal outperforms BASS, i.e. the most recent blockchain-based anonymous credential scheme designed for smart industry. The computational cost at the user-side (can be a weak IoT device) of our scheme is 8-times less than that of BASS. Thus, our system is more suitable for IIoT.© 2020 Elsevier B.V. All rights reserved.
Keywords: Identity management | Smart industry | Blockchain | Non-transferability | Biometrics | DLRep | Multi-show unlinkability | Selective disclosure | Accumulators
مقاله انگلیسی
2 The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources
سوالاتی که می پرسیم: فرصت ها و چالش های استفاده از تجزیه و تحلیل داده های بزرگ برای مدیریت استراتژیک منابع سرمایه انسانی-2020
Big data analytics have transformed research in many fields, including the business areas of marketing, accounting and finance, and supply chain management. Yet, the discussion surrounding big data analytics in human resource management has primarily focused on job candidate screenings. In this article, we consider how significant strategic human capital questions can be addressed with big data analytics, enabling HR to enhance overall firm performance. We also examine how new data sources that help assess workforce performance in real time can assist in the identification and development of the knowledge stars that contribute to firm performance disproportionately as well as help reinforce firm capabilities. But in order for big data analytics to be successful in the HR field, regulatory and ethical challenges must also be addressed; these include privacy concerns and, in Europe, the General Data Protection Regulation (GDPR). We conclude by discussing how big data analytics can facilitate strategic change within HR and the organization as a whole.
KEYWORDS: Big data analytics | Workforce analytics | Stakeholder management | Strategic human | capital | Knowledge stars | Human resource management
مقاله انگلیسی
3 Towards Security and Privacy for Edge AI in IoT/IoE based Digital Marketing Environments
به سمت امنیت و حفظ حریم خصوصی برای هوش مصنوعی لبه در محیط های بازاریابی دیجیتال مبتنی بر IoT / IoE-2020
Abstract—Edge Artificial Intelligence (Edge AI) is a crucial aspect of the current and futuristic digital marketing Internet of Things (IoT) / Internet of Everything (IoE) environment. Consumers often provide data to marketers which is used to enhance services and provide a personalized customer experience (CX). However, use, storage and processing of data has been a key concern. Edge computing can enhance security and privacy which has been said to raise the current state of the art in these areas. For example, when certain processing of data can be done local to where requested, security and privacy can be enhanced. However, Edge AI in such an environment can be prone to its own security and privacy considerations, especially in the digital marketing context where personal data is involved. An ongoing challenge is maintaining security in such context and meeting various legal privacy requirements as they themselves continue to evolve, and many of which are not entirely clear from the technical perspective. This paper navigates some key security and privacy issues for Edge AI in IoT/IoE digital marketing environments along with some possible mitigations.
Keywords: edge security | edge privacy | edge AI | edge intelligence | artificial intelligence | AI | machine learning | ML | IoT | IoE | edge | cybersecurity | legal | law | digital marketing | smart | GDPR | CCPA | security | privacy
مقاله انگلیسی
4 Legal Remedies For a Forgiving Society: Children’s rights, data protection rights and the value of forgiveness in AI-mediated risk profiling of children by Dutch authorities
راه حل های قانونی برای یک جامعه بخشنده: حقوق کودکان ، حقوق محافظت از داده ها و ارزش بخشش در مشخصات ریسک کودکان با استفاده از هوش مصنوعی توسط مقامات هلندی-2020
30 years after the United Nations Convention on the Right of the Child (CRC) and two years after the new EU data protection regime, the social value of forgiveness is not part of these legal instruments. The lack of this value within these legal instruments and the lack of re- search on the subject of forgiveness in relation to improving the legal position of children require urgent addressing especially when children are exposed to artificial intelligence (AI)- mediated risk profiling practices by Dutch government authorities. Developmental psychol- ogists underline that the erosion of this value could hamper children’s ability to develop flourishing human relationships. This article contributes to fill this niche. It investigates how this value can be enforced in order to benefit children below the age of 12 years that are exposed to risk profiling by Dutch law enforcement and youth care authorities. Children who are victims, witnesses, or falsely accused provide a particular narrowing of focus in this article as these groups cannot be held responsible for their correlations to crime. Strengthening children’s legal position is crucial because their position is much weaker compared to adults when it comes to question a risk correlation about themselves. These children correlated to crime, as this paper argues, not only can feel unjustifiably punished, ‘unforgiven’, and hampered in their choices, but can also develop low self-worth and (negative) judgmental attitudes towards others. Based on input from developmental psychology, empirical material, and legal desk research, this article seeks to answer: What remedies can the Law Enforcement Directive (LED) 2016/680, the General Data Protection Regulation (GDPR), and the United Nations Convention on the Right of the Child (CRC) offer against the detrimental implications of risk profiling children by the ProKid 12- SI system and the Crime Anticipation System (CAS) in The Netherlands? How can the social value of forgiveness strengthen these instruments and the legal position of children in light of security interests and the best interests of the child? The analysis concludes that the CRC offers the broadest room for incorporating the principle of forgiveness into balancing tests, but certain LED and GDPR prescriptions could also support the value of forgiveness for children, such as the right to erasure. The analysis concludes that incorporating forgiveness into the mentioned legal instruments would not only benefit individual children but would also foster public safety as a result.
Keywords: Forgiveness | Risk profiles | Children rights | Data protection | AI | Correlations
مقاله انگلیسی
5 The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources
سؤالاتی که می پرسیم: فرصت ها و چالش های استفاده از تحلیل داده های بزرگ برای مدیریت استراتژیک منابع سرمایه انسانی-2020
Big data analytics have transformed research in many fields, including the business areas of marketing, accounting and finance, and supply chain management. Yet, the discussion surrounding big data analytics in human resource management has primarily focused on job candidate screenings. In this article, we consider how significant strategic human capital questions can be addressed with big data analytics, enabling HR to enhance overall firm performance. We also examine how new data sources that help assess workforce performance in real time can assist in the identification and development of the knowledge stars that contribute to firm performance disproportionately as well as help reinforce firm capabilities. But in order for big data analytics to be successful in the HR field, regulatory and ethical challenges must also be addressed; these include privacy concerns and, in Europe, the General Data Protection Regulation (GDPR). We conclude by discussing how big data analytics can facilitate strategic change within HR and the organization as a whole.
KEYWORDS Big data analytics | Workforce analytics | Stakeholder | management | Strategic human | capital | Knowledge stars | Human resource | management
مقاله انگلیسی
6 How far can Convention 108+ ‘globalise’? Prospects for Asian accessions
کنوانسیون 108+ تا چه اندازه می تواند جهانی شود؟ چشم انداز الحاق آسیایی-2020
The ‘globalisation’ of Council of Europe data protection Convention 108 through non-European accessions has continued steadily, with eight such accessions since the first in 2013. The ‘modernisation’ of the Convention was completed on 10 October 2018 when the amending protocol for the new ‘Convention 108+’ became open for signature. Any new countries from outside Europe wishing to accede will have to accede to both Convention 108 and the amending Protocol (ie to 108+). The standards required of the laws of acceding countries by 108+ are higher than those required by 108, and are arguably mid-way between 108 and those of the European Union’s General Data Protection Regulation (GDPR).
This article examines to what extent each of the 26 ‘countries’ (separate jurisdictions) in Asia are likely to be able to accede to 108+, if they wish to. As yet, none have acceded to 108. It proposes an efficient way to consider such a question across such a complex set of jurisdictions. Fifteen of the 26 Asian countries already have data privacy laws, and two others have official Bills for such laws. An assessment of the prospects for accession can be done by considering in order the following grounds which may be impediments to accession: Jurisdictions which are not States; States which are not democratic; Laws of inadequate scope; Laws lacking an independent data protection authority; Laws with substantive provisions falling short of 108+ ‘accession standards’; States with proposed Bills only; and States with no relevant laws or proposed Bills.
The most difficult step in this procedure is in deciding which of the substantive provisions of 108+ constitute its ‘accession standards’, or elements essential for accession to be invited. Neither the Convention, nor the guidelines issued by its Consultative Committee, shed much light on this question. However, previous practice under Convention 108, show there is some flexibility involved. The article concludes with suggestions as to how such flexibility can be made more transparent, and observations on which Asian countries, in light of the seven step assessment carried out in the article, are the most likely candidates to be able to accede to 108+, in both the short and medium terms.
مقاله انگلیسی
7 The future of data protection: Gold standard vs: global standard
آینده حفاظت از داده ها: استاندارد طلایی در مقابل استاندارد جهانی-2020
While GDPR has been described as the new gold standard for data protection, Convention 108 may represent the potential global standard in this field. The recent progressive expansion of the Council of Europe’s model and the modernised version of the Convention have revitalised its role in the global context.
In a multipolar world of different regulatory approaches where data protection legislation in many countries is still absent or in its early stages, Convention 108 could be seen as representing the embodiment of the Latin saying “in medio stat virtus”. Between the extremes of a weak safeguarding of individual rights and a gold standard, Convention 108 provides a solution that is good enough and workable in many different contexts, without necessarily reaching a gold standard.
مقاله انگلیسی
8 Convention 108 and the GDPR: Trends and perspectives in Latin America
کنوانسیون 108 و GDPR: روندها و دیدگاه‌ها در آمریکای لاتین-2020
Over1,2 the past twenty years, several countries in Latin merica have enacted their own data protection laws.3 In many cases, these laws have followed standards that were nd still are being developed in the European Union. In spite f that, only a few of those countries -namely, Uruguay, Ar entina and Mexico- have acceded to the Convention for the rotection of Individuals with regard to Automatic Process g of Personal Data (hereinafter Convention 108), an inter ational commitment approved by the Council of Europe in 981 and has recently been modernized (hereinafter Convention 108+).4 Moreover, fewer countries -only Uruguay and Argentina- have been granted by “adequacy decisions” which are regularly determined by the European Commission and approved by the European Union. The benefits for those who obtained these decisions, are, among others, that enable free data flows between the EU and those countries in accordance to the Data Protection Directive 95/46/EC (hereinafter Directive).
مقاله انگلیسی
9 The impact of the general data protection regulation on innovation and the global political economy
تأثیر مقررات کلی حفاظت از داده ها بر نوآوری و اقتصاد سیاسی جهانی-2020
This paper attempts to outline how the General Data Protection Regulation might be positive not only for consumers and societal well-being but also for innovation in the digital age. Situated within the highly charged debate regarding the impact of regulations on innovation, this paper examines the General Data Protection Regulation in light of the theoretical facets underpinning the contexts in which regulation has a positive effect on innovation. These are in relation to firstly, tackling concentrated market power where too much concentration leads to the hampering of competitiveness and innovation. Secondly, structural features outlined in the Porter hypothesis that a regulation should have to promote innovation and thirdly, whether the General Data Protection Regulation falls within the scope of the Brussels effect and hence, levels the competitive playing field as well as helps shape the future of the digital economy. The General Data Protection Regulation’s alignment with these three dimensions is outlined with certain deviations being noted.
Keywords: GDPR | Regulation | Innovation | Competition | Porter hypothesis | Brussels effect
مقاله انگلیسی
10 The dual function of explanations: Why it is useful to compute explanations
توضیحات تابع دوگانه: چرا توضیحات محاسبه مفید است-2020
Whilst the legal debate concerning automated decision-making has been focused mainly on whether a ‘right to explanation’ exists in the GDPR, the emergence of ‘explainable Artificial Intelligence’ (XAI) has produced taxonomies for the explanation of Artificial Intelligence (AI) systems. However, various researchers have warned that transparency of the algorithmic processes in itself is not enough. Better and easier tools for the assessment and review of the socio-technical systems that incorporate automated decision-making are needed. The PLEAD project suggests that, aside from fulfilling the obligations set forth by Article 22 of the GDPR, explanations can also assist towards a holistic compliance strategy if used as detective controls. PLEAD aims to show that computable explanations can facilitate monitoring and auditing, and make compliance more systematic. Automated computable explanations can be key controls in fulfilling accountability and data-protection-by-design obligations, able to empower both controllers and data subjects. This opinion piece presents the work undertaken by the PLEAD project towards facilitating the generation of computable explanations. PLEAD leverages provenance-based technology to compute explanations as external detective controls to the benefit of data subjects and as internal detective controls to the benefit of the data controller.
Keywords: Automated decisions | Artificial intelligence | Explainability | Explainable AI | GDPR
مقاله انگلیسی
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