scholarly journals On the Protection of Personal Data Information in Big Data Investigation Activities

2021 ◽  
Vol 8 (2) ◽  
pp. 160
Author(s):  
Xinzhao Pang
Keyword(s):  
Big Data ◽  
Personal Information ◽  
Code Of Conduct ◽  
Personal Data ◽  
Legal Protection ◽  
Communication Technologies ◽  
Governance Model ◽  
Potential Risks ◽  
Data Investigation ◽  
Definition Of

In the context of the vigorous development of big data and network communication technologies, the universality of personal data information processing, the openness of concept definitions, and the potential risks in practice have led to theoretical and practical changes in the definition of personal data information. With the widespread use of big data technology in criminal investigations, the theoretical and practical activities of big data investigation have gradually formed. Big data investigation activities are often accompanied by infringements on citizens' personal data and other legitimate rights and interests. At present, the traditional model of personal data information protection cannot restrict the code of conduct in big data investigation activities. For this reason, it is necessary to introduce a comprehensive governance model, which mainly includes relative control of individuals, balance of multiple interests and dynamic risk adjustment. Etc., and focus on the transformation of the legal protection model of personal information.

The Impact of Data Protection Regulations on Start-Up Enterprises

2021 ◽  
pp. 120-133
Author(s):  
Cumhur Boyacioglu ◽  
Orkun Yıldız
Keyword(s):  
Data Protection ◽  
Personal Information ◽  
Personal Data ◽  
Legal Protection ◽  
Extended Period ◽  
Legal Form ◽  
Legal Traditions ◽  
Legal Problems ◽  
Start Up ◽  
The One

Information is vital for enterprises. However, the usage of information uniquely personal data leads to various legal problems. On the one side, enterprises require free and unlimited usage of personal data as much as possible for their continuity and progression. On the other side, natural and legal persons seek legal protection regarding their personal information or market position. It is challenging to find a fair and reasonable balance that can last for an extended period in such a dynamic field. This article evaluates the general tendencies concerning data usage, sharing, and protection problems considering Start-Up enterprises' situation aside from their legal form. The problems mainly arise in the fields of data protection and unfair competition. Some of the legal problems are also related to intellectual property. Instead of trying to find general and local solutions, it seems more useful to seek and find solutions that shall take the interests of various enterprises and companies from diverse sectors and legal traditions employing good practices. Of course, it is not very easy to reach solutions that will be accepted by all the related parties. The legal solutions should not constraint Start-Up enterprises' innovative progress, as well as meeting related parties' protection and fair trade expectations. Otherwise, privacy violations and abuse of competition will be inevitable.

scholarly journals Privacy And Web 3.0: Implementing Trust and Learning from Social Networks

2018 ◽  
Vol 10 (4) ◽  
pp. 16
Author(s):  
George Bouchagiar
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Semantic Web ◽  
Web 2.0 ◽  
Personal Information ◽  
Personal Data ◽  
New Era ◽  
Web 3.0 ◽  
Data Portability ◽  
Privacy Risks

After having shifted from Web 1.0 to Web 2.0, scientists welcome the advent of Web 3.0, an environment where meaning is added to data. While in the Semantic Web people are no longer users, but part of the emerging applications, producers, subjects and beneficiaries of the Big Data, however, opaque processing of personal data poses tremendous risks and dangers for individuals. Given the new era of Big Data this paper studies firms’ purposes and practices to detect some emerging privacy risks. Moreover, theories that deal with social networks are examined to conclude that, even if people state that they value their privacy, however, they often disclose a huge volume of personal information. Taking into account that today’s European concept of privacy is conceptualized in negative terms this paper also proposes the implementation of trust and loyalty into the privacy concept through flexible fiduciary laws. Furthermore, data portability is discussed to detect its potential as a strategic feature, a key tool that will enhance trust. Finally, further scenarios and proposals are submitted, in our attempt to answer the question whether the European concept of privacy could be re-shaped for the benefit of individuals.

A Hierarchical Hadoop Framework to Handle Big Data in Geo-Distributed Computing Environments

2018 ◽  
Vol 11 (1) ◽  
pp. 16-47 ◽  
Author(s):  
Orazio Tomarchio ◽  
Giuseppe Di Modica ◽  
Marco Cavallo ◽  
Carmelo Polito
Keyword(s):  
Big Data ◽  
Data Centers ◽  
Poor Performance ◽  
Communication Technologies ◽  
Sources Of Information ◽  
The Poor ◽  
The Social ◽  
Computing Environments ◽  
Definition Of ◽  
Hadoop Framework

Advances in the communication technologies, along with the birth of new communication paradigms leveraging on the power of the social, has fostered the production of huge amounts of data. Old-fashioned computing paradigms are unfit to handle the dimensions of the data daily produced by the countless, worldwide distributed sources of information. So far, the MapReduce has been able to keep the promise of speeding up the computation over Big Data within a cluster. This article focuses on scenarios of worldwide distributed Big Data. While stigmatizing the poor performance of the Hadoop framework when deployed in such scenarios, it proposes the definition of a Hierarchical Hadoop Framework (H2F) to cope with the issues arising when Big Data are scattered over geographically distant data centers. The article highlights the novelty introduced by the H2F with respect to other hierarchical approaches. Tests run on a software prototype are also reported to show the increase of performance that H2F is able to achieve in geographical scenarios over a plain Hadoop approach.

scholarly journals PROTECTION OF PRIVACY AND PERSONAL DATA IN THE BIG DATA ENVIRONMENT OF SMART CITIES

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 181-186
Author(s):  
A. Denker
Keyword(s):  
Big Data ◽  
Smart City ◽  
Personal Information ◽  
Smart Cities ◽  
Personal Data ◽  
Privacy And Security ◽  
Personal Data Protection ◽  
Security Issues ◽  
Data Environment ◽  
Bifocal Lenses

Abstract. The project of smart cities has emerged as a response to the challenges of twenty-first- century urbanization. Solutions to the fundamental conundrum of cities revolving around efficiency, convenience and security keep being sought by leveraging technology. Notwithstanding all the conveniences furnished by a smart city to all the citizens, privacy of a citizen is intertwined with the benefits of a smart city. The development processes which overlook privacy and security issues have left many of the smart city applications vulnerable to non-conventional security threats and susceptible to numerous privacy and personal data spillage risks. Among the challenges the smart city initiatives encounter, the emergence of the smartphone-big data-the cloud coalescence is perhaps the greatest, from the viewpoint of privacy and personal data protection. As our cities are getting digitalized, information comprising citizens' behavior, choices, and mobility, as well as their personal assets are shared over smartphone-big data-the cloud coalescences, thereby expanding cyber-threat surface and creating different security concerns. This coalescence refers to the practices of creating and analyzing vast sets of data, which comprise personal information. In this paper, the protection of privacy and personal data issues in the big data environment of smart cities are viewed through bifocal lenses, focusing on social and technical aspects. The protection of personal data and privacy in smart city enterprises is treated as a socio-technological operation where various actors and factors undertake different tasks. The article concludes by calling for novel developments, conceptual and practical changes both in technological and social realms.

scholarly journals Legal Weak Protection of Personal Data in the 4.0 Industrial Revolution Era

2020 ◽  
Vol 2 (2) ◽  
pp. 182-200
Author(s):  
Fenty Usman Puluhulawa ◽  
Jufryanto Puluhulawa ◽  
Moh. Gufran Katili
Keyword(s):  
Industrial Revolution ◽  
Personal Information ◽  
Personal Data ◽  
Legal Protection ◽  
Easy Access ◽  
Personal Data Protection ◽  
Digital Ecosystem ◽  
Approach Method ◽  
The Impact ◽  
Society Today

This study aims to discuss the legal weak protection of personal data which is motivated by the phenomenon of society today which is like living in a world without borders so that it impacts on easy access to one's personal information, the impact of begins to spread illegal practices by irresponsible parties in the illegal use of personal information. In addition, there are no laws that specifically regulate the protection of personal data/information in the 4.0 Industrial Revolution era. The approach method used is a conceptual and case approach, with the purpose of the research is to analyze the weakness of legal protection for personal data in the 4.0 Industrial Revolution era in Indonesia. The results of the study, the spread of personal data protection arrangements in various laws and regulations indicate the protection of personal data is not yet a national legal priority and results in legal weak protection of the personal data of citizens so as to position Indonesian citizens in a vulnerable position, which is certainly not in line with the legal objectives namely provide legal certainty, justice, and expediency. The various cases that exist and pay attention to the phenomenon of digitalization in the era of the industrial revolution 4.0 illustrate the urgency of the need for the legal protection of personal data a state priority. Legal reform through the legitimacy of protecting personal data as a responsive and progressive legal policy is a must so that legal protection in the form of legal guarantees can be carried out properly in order to create a safe and comfortable digital ecosystem for the community.

scholarly journals Social credit mechanisms and modern standards of legal protection of personal data: correspondence problems

2021 ◽  
pp. 174-189
Author(s):  
Roman Z. Rouvinsky
Keyword(s):  
Public Administration ◽  
Data Protection ◽  
Management Practices ◽  
Personal Information ◽  
Personal Data ◽  
Legal Protection ◽  
The European Union ◽  
Credit System ◽  
General Data Protection Regulation ◽  
Social Credit

The subject of this article is the problem of correspondence of the practices of digital profiling and social score, which imply collection and analysis of biographical (reputational) information, to the worldwide-accepted standards of protection of personal data and privacy. Analysis is conducted on the legislation of the People's Republic of China – the country that in recent years has implemented the “Social Credit System” in the sphere of public administration. This project consists of management practices, which are viewed through the prism of the legal model of personal data protection formed by the Law in Protection of Personal Information adopted in 2021. The peculiarity of this research is its comparative legal nature: the provisions of China’s legislation are juxtaposed to the provisions of the General Data Protection Regulation adopted in the European Union and Russia’s Federal Law “On Personal Data”. Assessment is given to the European and Russian models of regulation of operations with personal data in the context of possible implementation of digital profiling practices, social score (ranking, grading), and automated law enforcement decision-making. Having determined the gaps in the current Russian and EU legislation on personal data, and indicating the risk caused by the presence of blanket rules, the conclusion is made according to which the modern legislation on personal data can be an obstacle for arbitrary use of such data; however, it cannot stop the implementation of innovative technologies, mechanisms and practices that suggest using registry and biographical information of individuals for the purpose of social control into the public administration.

The Privacy Paradox in the Big Data Era? No Thanks, We Are the E-People

2019 ◽  
Vol 9 (3) ◽  
pp. 32-47 ◽  
Author(s):  
Marco Vassallo
Keyword(s):  
Big Data ◽  
Personal Data ◽  
Factor Analyses ◽  
Convenience Sample ◽  
Confirmatory Factor Analyses ◽  
Internet Users ◽  
Confirmatory Factor ◽  
Privacy Paradox ◽  
New Perspective ◽  
Definition Of

The objective of this work is to propose a new perspective in understanding the phenomenon of online behaviors, termed the privacy paradox, i.e., worry on preserving personal data and contents, but a little attention to disclose them, and thus introducing the new definition of e-people. The provocative hypothesis of this study regards the internet users who, in the Big Data era, are affected by a common covariation of being e-popular/e-visible, e-narcissist, e-(socially)-accepted, e-remembered. These e-behaviors will be conceptually gathered under the term of Achilles' paradigm. A structured web-questionnaire was submitted to a convenience sample of 198 internet users. First and second-order confirmatory factor analyses together with latent means models concretely supported the existence of the Achilles' paradigm and its impact on the privacy paradox concerns. As a result, the privacy paradox is not an effective paradox anymore: self-disclosing privacy online seems to be a well-accepted behavior.

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