Multi-value Classification of Ambiguous Personal Data

2019 ◽  
pp. 202-208
Author(s):  
Sigal Assaf ◽  
Ariel Farkash ◽  
Micha Moffie
Keyword(s):  
Personal Data

scholarly journals Methods of big data definition: Russian and foreign experience

2021 ◽  
pp. 143-157
Author(s):  
Kseniia Antipova
Keyword(s):  
Big Data ◽  
Russian Federation ◽  
Personal Data ◽  
Legal Regulation ◽  
The European Union ◽  
Legal Doctrine ◽  
Original Definition ◽  
Data Definition ◽  
The Russian Federation

This article explores the main approaches of Russian and foreign authors towards big data definition; reflects the classification of data, components of big data; and provides comparative characteristics to legal regulation of big data. The subject of this research is the legislation of the Russian Federation and legislation of the European Union that regulate the activity on collection, processing and use of big data, personal data and information; judicial and arbitration practice of the Russian Federation in the sphere of personal data; normative legal acts of the Russian Federation; governmental regulation of the Russian Federation and foreign countries in the area of processing, use and transmission of data; as well as legal doctrine in the field of research dedicated to the nature of big data. The relevance of this research is substantiated by the fact that there is yet no conceptual uniformity with regards to big data in the world; the essence and methods of regulating big data are not fully explored. The goal of this research is determine the legal qualification of the data that comprise big data. The task lies in giving definition to the term “big data”; demonstrate the approaches towards determination of legal nature of big data; conduct  classification of big data; outline the criteria for distinguishing data that comprise the concept of big data; formulate the model for optimal regulation of relations in the process of activity on collection, processing, and use of the data. The original definition of big data in the narrow and broad sense is provided. As a result, the author distinguishes the types of data, reflects the legal qualification of data depending on the category of data contained therein: industrial data, user data, and personal data. Attention is also turned to the contractual form of big data circulation.

CLASSIFICATION OF PERSONAL DATA IN RELATION TO PERSONS SENTENCED TO IMPRISONMENT

2021 ◽  
pp. 141-145
Author(s):  
Анастасия Юрьевна Сивцова
Keyword(s):  
Civil Rights ◽  
Personal Data ◽  
Private Life ◽  
Constitutional Rights ◽  
The Right To Privacy ◽  
Detention Centers ◽  
Sexual Identification ◽  
The Right ◽  
Statutory Regulation

В статье приводится анализ источников, регламентирующих процесс регламентации персональных данных, анализ норм российских нормативных правовых актов, закрепляющих основные права человека и гражданина, основные конституционные права осужденных на жизнь, здоровье. Автором поясняются некоторые аспекты нормативного регулирования понятия «персональные данные осужденных», право на личную жизнь. На основе научного анализа мнений ученых-юристов автором выстраивается логическая цепочка нормативного регламентирования заявленных дефиниций. В ключевом выводе по данной работе автором дается определение категории информации в следующей трактовке: персональные данные в отношении лиц, содержащихся в следственных изоляторах и осужденных к лишению свободы, - любая информация, относящаяся к прямо или косвенно определенному или определяемому подозреваемому, обвиняемому или осужденному, включающая в себя сведения о частной жизни, связях с родственниками и друзьями, пристрастиях, половой идентификации и предпочтениях, социальном и финансовом положении, о взглядах и убеждениях, о состоянии здоровья, в том числе совокупность информации, способная привести к идентификации осужденного. Предлагается авторская классификация персональных данных специальных субъектов. The article provides an analysis of the sources that regulate the process of regulating personal data, an analysis of the norms of Russian normative legal acts that reflect the basic human and civil rights, the basic constitutional rights of convicts to life and health. The author explains some aspects of the statutory regulation of the concept of "personal data of convicts", the right to privacy. Based on the scientific analysis of the opinions of legal scholars, the author builds a logical chain of statutory regulation of the stated definitions. In the key conclusion of this work, the author defines the category of information in the following interpretation: personal data in relation to persons held in pre-trial detention centers and sentenced to imprisonment - any information related directly or indirectly to a certain or identifiable person, suspect, accused or convicted person, including information about private life, relationships with relatives and friends, addictions, sexual identification and preferences, social and financial status, views and beliefs, health status, including a set of information that can lead to the identification of the convicted person. The author's classification of personal data of special subjects is proposed.

Fine Grained Classification of Personal Data Entities with Language Models

2022 ◽  
Author(s):  
Abhinav Nagpal ◽  
Riddhiman Dasgupta ◽  
Balaji Ganesan
Keyword(s):  
Personal Data ◽  
Language Models ◽  
Fine Grained

scholarly journals Biometrics in the Context of Personal Data and Genetic Information: Legal Issues

Lex Russica ◽  
2019 ◽  
pp. 108-118 ◽  
Author(s):  
I. M. Rassolov ◽  
S. G. Chubukova ◽  
I. V. Mikurova
Keyword(s):  
Genetic Information ◽  
Personal Data ◽  
Modern Society ◽  
Legal Regulation ◽  
Behavioral Characteristics ◽  
Legal Regime ◽  
Biometric Data ◽  
Information Law ◽  
Identification Of Persons

In modern society, methods of identification of persons on the basis of their physical, biological or behavioral characteristics are actively developing. European countries are in the process of developing a holistic doctrine on biometric control and are clarifying their position on situations where biometric data are used by individuals.From the position of information law, the paper presents a new author’s approach to the problem of processing biometric data and genetic information. The division of biometrics into “trace” and “non-trace” is losing its meaning. A new classification of biometrics into digital and analog is proposed.Biometric access control should not become a routine phenomenon in the framework of the organization of the company and without any reason to replace other existing types of control. The interested person can be entrusted with the storage of their own biometric data to reduce the risks of leakage and the consequences of exposure to them. Biometric data must be stored on the company’s servers in encrypted form, which makes it impossible to use them without the consent of the person concerned.Biometric data should be protected by a special legal regime. The analysis of the European and Russian legislation made it possible to draw the following conclusions: biometric data is a special type of personal data, a special legal regime and regulation should be established; digital biometrics needs special legal regulation, since it is the most vulnerable type; genetic information does not fully correspond to the concept of personal data, as it can relate to an unlimited number of persons. This determines the need to develop a special law “on genetic information”.

scholarly journals The Concept and Classification of Genomic (Genetic) Information

Lex Russica ◽  
2020 ◽  
pp. 50-58
Author(s):  
M. N. Maleina
Keyword(s):  
Ribonucleic Acid ◽  
Genetic Information ◽  
Biological Sample ◽  
Deoxyribonucleic Acid ◽  
Personal Data ◽  
Genomic Information ◽  
Genomic Technologies ◽  
And Storage ◽  
Living Being

The importance of genomic information has now increased due to the possibility of its practical use. Meanwhile, the understanding of the term “genomic information” is specified based on different criteria. Genomic information is proposed to be classified depending on the following criteria: 1) the origin of a biological sample, 2) the place of fixation and storage of genomic information, 3) the purpose of use, 4) the completeness of examination, 5) the relation of a person to the acquisition of his or her genomic information, 6) the scope of content. Genomic information can be presented as a generic concept referring to all biological objects, as a special concept (species) referring only to humans, and as subspecies reflecting specificity of such information in a particular area of activity. Genomic information of a living being (human, animal, plant, microorganism) is understood as data on certain fragments of deoxyribonucleic acid (sometimes ribonucleic acid) on the basis of which the living being is identified or other permitted activity is carried out.Human genomic information is defined as biometric personal data extracted from certain fragments of deoxyribonucleic acid (sometimes ribonucleic acid) of a living individual or corpse, on the basis of which it is possible to identify, determine genetic predispositions or extract patterns of the development of the human being obtained voluntarily, and, in cases provided for by the law, forced to be fixed in a biological sample and/or stored in an information map or database.It is proved that the existing laws on information or a new law dedicated to regulation of the application of genomic technologies should be amended instead of adopting a special law “On Genetic Information”. 

Dubai and Barcelona as Smart Cities: Some Reflections on Data Protection Law and Privacy

2021 ◽  
pp. 1-5
Author(s):  
Radwan Eskhita ◽  
Vijaya Kittu Manda ◽  
Arbia Hlali
Keyword(s):  
Data Protection ◽  
Smart City ◽  
Smart Cities ◽  
Descriptive Analysis ◽  
Personal Data ◽  
Huge Amount ◽  
Shared Data ◽  
Data Protection Law

This study introduces a descriptive analysis to carry out the transformation of the Dubai smart city as a case study in the GCC region with reference to the Barcelona smart city. Furthermore, to investigate how the Dubai smart city will deal with the huge amount of the collected personal data through Internet of Things devices and applications. The theoretical analysis shows that the Barcelona smart city can be represented as an effective model, its innovations recommends to be used in Dubai smart city. The analysis founds that the classification of the collected data inside smart city to open and shared data did not provide sufficient privacy for personal data. Therefore, the personal data should be classified explicitly in order to be processed separately under the rules of the data protection law.

scholarly journals Classification of personal data security threats in information systems

T-Comm ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 56-60
Author(s):  
V.A. Dokuchaev ◽  
◽  
V.V. Maklachkova ◽  
V.Yu. Statev ◽  
◽  
...  
Keyword(s):  
Information Systems ◽  
Data Security ◽  
Personal Data ◽  
Security Threats

scholarly journals PERCEPTIONS OF ALGORITHMIC PROFILING ON FACEBOOK AND THEIR SOCIAL IMPLICATIONS

2020 ◽  
Author(s):  
Aurelia Tamò Larrieux ◽  
Eduard Fosch Villaronga ◽  
Shruthi Velidi ◽  
Salome Viljoen ◽  
Christoph Lutz ◽  
...  
Keyword(s):  
Social Justice ◽  
Personal Data ◽  
Third Party ◽  
Social Implications ◽  
User Perceptions ◽  
The Third ◽  
Internet Firms ◽  
The Social ◽  
People’S Perception

With every digital interaction, individuals are increasingly subject to algorithmic profiling, understood as the systematic and purposeful recording and classification of data related to individuals. Large Internet firms, such as Facebook and Google/Alphabet, as well as third-party data brokers collect and combine detailed personal data to create sophisticated profiles for predictive purposes. Research has started to look into people’s perception and engagement of algorithms, showing that many users are unaware of the existence of algorithms, for example those which curate news feeds, and that a majority feels uncomfortable with algorithmic profiling on Facebook. In our research, we investigate perceptions of algorithmic profiling on Facebook by addressing the following questions: What user narratives of profiling on Facebook exist? What reactions do users have when confronted with Facebook’s inferred profiles? What are the social implications of user perceptions of profiling? Drawing on rich and recent survey data from 292 US-based Facebook users, we identified four overarching themes relating to Facebook's profiling activities: uncertainty, naiveté, realism, and fatalism. While the third theme is the most prevalent, Facebook is perceived as very powerful when it comes to algorithmic profiling. However, when confronted with their own profiles through the "My interests" and "My categories" sections in the Facebook Ad preferences menu, many users indicated surprise at how imprecise or even wrong some of the inferred interests and categories were. We discuss the social implications of our findings with regards social exclusion and social justice.

scholarly journals Protection of the Rights and Freedoms of Minors in the Digital Space

2020 ◽  
Vol 14 (2) ◽  
pp. 234-241
Author(s):  
Svetlana Mironova ◽  
Svetlana Simonova
Keyword(s):  
Information Security ◽  
Credit Card ◽  
Personal Data ◽  
The Internet ◽  
Digital Space ◽  
Cyber Threats ◽  
Successful Solution ◽  
Private Citizens ◽  
Special Information

The problem of ensuring information security is currently urgent for the Russian Federation as well as for the whole world. The number of cyber-threats is increasing at a great speed, and they concern not only private citizens, but also organizations, the community and the state. Special attention should be paid to the information security of children and teenagers. Minors are most susceptible to negative influences on the Internet, they risk becoming victims of cyberbullying, fraud and illegal access to personal data. Common threats to the information security of minors include a constant increase in the number of sites with aggressive or illegal content, including those inciting to suicide or abuse of drugs and psychoactive substances, as well as cyber-stalking or virtual sexual harassment. The information security of minors in the digital space is a complex issue, whose successful solution requires a consolidation of legal and information resources. The article analyzes Russian and foreign experience of ensuring the information security of minors. The authors summarize research approaches to solving the problem of protecting minors on the Internet. They present a classification of the most urgent cyber-threats: software-technical (intentional dissemination of viruses and Trojan software), economic (theft and sale of credit card details, phishing-attacks, hacking of payment accounts), and content (public dissemination of any materials, including illegal ones, on the Internet). The authors also examine legal, social and technical measures of ensuring the information security of minors and suggest changes to the current legislation which regulates the information security of minors. The authors also study specific methods of solving this task and outline a number of measures aimed at protecting the rights and freedoms of minors in the digital space (thematic prevention classes for minors, development of special information protection software).

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