scholarly journals Towards an Architecture to Guarantee Both Data Privacy and Utility in the First Phases of Digital Clinical Trials

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4175 ◽  
Author(s):  
Fabio Angeletti ◽  
Ioannis Chatzigiannakis ◽  
Andrea Vitaletti
Keyword(s):  
Clinical Trial ◽  
Real World ◽  
Social Life ◽  
Data Privacy ◽  
Medical Condition ◽  
Personal Data ◽  
Technical Requirements ◽  
Confidential Data ◽  
User Data ◽  
And Control

In the era of the Internet of Things (IoT), drug developers can potentially access a wealth of real-world, participant-generated data that enable better insights and streamlined clinical trial processes. Protection of confidential data is of primary interest when it comes to health data, as medical condition influences daily, professional, and social life. Current approaches in digital trials entail that private user data are provisioned to the trial investigator that is considered a trusted party. The aim of this paper is to present the technical requirements and the research challenges to secure the flow and control of personal data and to protect the interests of all the involved parties during the first phases of a clinical trial, namely the characterization of the potential patients and their possible recruitment. The proposed architecture will let the individuals keep their data private during these phases while providing a useful sketch of their data to the investigator. Proof-of-concept implementations are evaluated in terms of performances achieved in real-world environments.

scholarly journals How Blockchain and AI Enable Personal Data Privacy and Support Cybersecurity

2021 ◽  
Author(s):  
Stanton Heister ◽  
Kristi Yuthas
Keyword(s):  
Artificial Intelligence ◽  
Data Privacy ◽  
Personal Data ◽  
Analytical Models ◽  
Data Sets ◽  
Privacy And Security ◽  
Security Breaches ◽  
Digital Surveillance ◽  
User Data ◽  
And Control

Recent increases in security breaches and digital surveillance highlight the need for improved privacy and security, particularly over users’ personal data. Advances in cybersecurity and new legislation promise to improve data protection. Blockchain and distributed ledger technologies provide novel opportunities for protecting user data through decentralized identity and other privacy mechanisms. These systems can allow users greater sovereignty through tools that enable them to own and control their own data. Artificial intelligence provides further possibilities for enhancing system and user security, enriching data sets, and supporting improved analytical models.

Towards Indonesia’s integrated broadcast-broadband implementation policy: A comparative analysis of Singapore, Japan and Malaysia

2021 ◽  
Vol 00 (00) ◽  
pp. 1-19
Author(s):  
Diah Yuniarti ◽  
Sri Ariyanti
Keyword(s):  
Data Privacy ◽  
Comparative Method ◽  
Personal Data ◽  
Personal Data Protection ◽  
User Data ◽  
Implementation Policy ◽  
Digital Terrestrial Television ◽  
The Government ◽  
Broadcast Programme ◽  
Over The Top

This study aims to provide recommendations to the government on regulating licence, content and data privacy and protection for integrated broadcast-broadband (IBB) operations in Indonesia, by referencing Singapore, Japan and Malaysia as case studies, considering the need for umbrella regulations for IBB implementation. Singapore and Japan were chosen as countries that have deployed IBB since they have been using hybrid broadcast broadband television (HbbTV) and Hybridcast standards, respectively. Malaysia was chosen because it is a neighbouring country that has conducted trials of the IBB service, bundled with its digital terrestrial television (DTT) service. The qualitative data are analysed using a comparative method. The results show that Indonesia needs to immediately revise its existing Broadcasting Law to accommodate DTT implementation, which is the basis for IBB and the expansion of the broadcaster’s TV business. Learning from Singapore, Indonesia could include over-the-top (OTT) content in its ‘Broadcast Behaviour Guidelines’ and ‘Broadcast Programme Standards’. Data privacy and protection requirements for each entity involved in the IBB ecosystem are necessary due to the vulnerability of IBB service user data leakage. In light of this, the ratification of the personal data protection law, as a legal umbrella, needs to be accelerated.

Lawsuits may be key to tighter US data privacy rules

2018 ◽  
Keyword(s):  
United States ◽  
First Amendment ◽  
Data Privacy ◽  
Personal Data ◽  
The United States ◽  
Political Campaigns ◽  
Online Privacy ◽  
Content Type ◽  
Political Consulting ◽  
User Data

Significance The move comes after Facebook suspended a UK political consulting firm, Cambridge Analytica, following allegations on March 18 that it improperly obtained personal data on 50 million Facebook users that was subsequently used in political campaigns. The incident has reignited the debates in the United States and elsewhere on online privacy, targeted messaging and whether tech firms are now too powerful to be left to regulate themselves. Impacts First Amendment considerations will limit any efforts to control online political advertising in the United States. Accusations that Facebook facilitated foreign meddling in elections will dog it more than allegations of improper acquisitions of user data. Internal criticism of Facebook's practices by employees, former employees and investors may be greater agents for change than lawmakers.

scholarly journals Data as asset? The measurement, governance, and valuation of digital personal data by Big Tech

2021 ◽  
Vol 8 (1) ◽  
pp. 205395172110173
Author(s):  
Kean Birch ◽  
DT Cochrane ◽  
Callum Ward
Keyword(s):  
Personal Data ◽  
User Engagement ◽  
Control Rights ◽  
The World ◽  
User Data ◽  
Asset Class ◽  
Revenue Streams ◽  
Per Se ◽  
Political Economic ◽  
And Control

Digital personal data is increasingly framed as the basis of contemporary economies, representing an important new asset class. Control over these data assets seems to explain the emergence and dominance of so-called “Big Tech” firms, consisting of Apple, Microsoft, Amazon, Google/Alphabet, and Facebook. These US-based firms are some of the largest in the world by market capitalization, a position that they retain despite growing policy and public condemnation—or “techlash”—of their market power based on their monopolistic control of personal data. We analyse the transformation of personal data into an asset in order to explore how personal data is accounted for, governed, and valued by Big Tech firms and other political-economic actors (e.g., investors). However, our findings show that Big Tech firms turn “users” and “user engagement” into assets through the performative measurement, governance, and valuation of user metrics (e.g., user numbers, user engagement), rather than extending ownership and control rights over personal data per se. We conceptualize this strategy as a form of “techcraft” to center attention on the means and mechanisms that Big Tech firms deploy to make users and user data measurable and legible as future revenue streams.

Examination of Social Media Platforms in Terms of Privacy Policy

2021 ◽  
Author(s):  
Sema Bulat Demir ◽  
Ayten Övür
Keyword(s):  
Social Media ◽  
Data Privacy ◽  
Personal Data ◽  
Privacy Policy ◽  
Privacy Policies ◽  
Content Analysis Method ◽  
User Data ◽  
Social Media Platforms ◽  
Data Policy ◽  
Google Play

Nowadays, social media platforms are frequently being used on the Internet. When the users create an account for these platforms, they are required to accept the data privacy policy. With the approval of the data policy, major problems may arise such as observing every activity of users on the platform, violations of security and protection of personal data, and sharing user data with third parties for commercial purposes. In this regard, it is significant to examine the privacy policies of social media platforms in detail. In this research, we examined the privacy policies of the five most popular free applications on the communication section of the Google Play Store on January 30th, 2021. The privacy policies of these applications were analyzed with the content analysis method, and the research aims to reveal the area of utilization of the data that the users provide, with or without the permission of the user.

scholarly journals Perlindungan Privasi Data Pribadi dalam Perspektif Perbandingan Hukum

2019 ◽  
Vol 34 (3) ◽  
Author(s):  
Fanny Priscyllia
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Private Information ◽  
Privacy Protection ◽  
Social Life ◽  
Data Privacy ◽  
Freedom Of Expression ◽  
Personal Data ◽  
Study Results ◽  
Google Drive

Perkembangan teknologi informasi dan komunikasi, salah satunya internet (interconnection networking). Informasi berupa data pribadi menjadi acuan dalam penggunaan aplikasi berbasis internet seperti e-commerce, e-health, e-payment, serta perkembangan cloud computing (ruang penyimpanan data seperti google drive, iCloud, Youtube). Privasi data pribadi merupakan hal penting karena menyangkut harga diri dan kebebasan berekspresi seseorang. Perlindungan privasi data pribadi jika tidak diatur dalam suatu peraturan perundang-undangan dapat mengakibatkan kerugian bagi seseorang atas tersebarnya suatu informasi pribadi. Kajian ini bertujuan untuk mendisukusikan konsep perlindungan privasi data pribadi serta pengaturannya dalam perspektif perbandingan hukum. Kajian ini menggunakan penelitian hukum normatif yang meneliti dan menganalisis sumber-sumber hukum. Hasil studi menunjukkan bahwa konsep perlindungan hak privasi merupakan hak penuh seseorang dan pemenuhannya tidak didasarkan pada hak orang lain, tetapi hak tersebut dapat hilang apabila dikehendaki oleh pemiliknya untuk mempublikasikan informasi yang bersifat pribadi kepada publik dan seseorang berhak untuk tidak membagikan semua informasi mengenai pribadinya dalam kehidupan sosial. Ketiadaan hukum yang mengatur secara komprehensif perlindungan privasi atas data pribadi di Indonesia dapat meningkatkan potensi pelanggaran terhadap hak konstitusional warga negara atas perlindungan privasi data pribadi. The development of information and communication technology, which one is the internet (interconnection networking). Personal data becomes a reference in the use of internet-based applications such as e-commerce, e-health, e-payment, and the development of cloud computing (data storage space such as Google Drive, iCloud, Youtube). The privacy of personal data is very important because it involves the freedom of expression and dignity of each individual. Data privacy protection shall be stipulated under the national law, if it is not, it may harm personal information that leads to any loss of someone. This paper aims to discuss the concept of privacy protection of personal data and legal arrangements from the perspective of comparative law. This article is normative legal research that examines and analyzes legal sources. The study results show that the privacy protection concept of personal data is a person rights and applied not by the others, but the rights can be lost if that person publish private information to the public and it’s a rights to does not share all information about his personality in social life. The absence of a comprehensive law governing privacy protection for personal data as a constitutional right can increase the potential of violations in Indonesia.

Design Preference Prediction With Data Privacy Safeguards: A Preliminary Study

2017 ◽  
Author(s):  
Alexander Burnap ◽  
Panos Y. Papalambros
Keyword(s):  
Data Privacy ◽  
Personal Data ◽  
Population Level ◽  
Smart Device ◽  
Design Development ◽  
User Privacy ◽  
User Data ◽  
Preference Models ◽  
Design Preference ◽  
Device Use

Design preference models are used widely in product planning and design development. Their prediction accuracy requires large amounts of personal user data including purchase and other personal choice records. With increased Internet and smart device use, sources of personal data are becoming more varied and their capture more ubiquitous. This situation leads to questioning whether there is a trade off between improving products and compromising individual user privacy. To advance this conversation, we analyze how privacy safeguards may affect design preference modeling. We conduct an experiment using real user data to study the performance of design preference models under different levels of privacy. Results indicate there is a tradeoff between accuracy and privacy. However, with enough data, models with privacy safeguards can still be sufficiently accurate to answer population-level design questions.

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