Personal data and privacy violation as new argument for the stronger and broader rights-based partnership in tobacco control

Purpose Social media has created a new level of interconnected communication. However, the use of online platforms brings about various ways in which a user’s personal data can be put at risk. This study aims to investigate what drives the disclosure of personal information online and whether an increase in awareness of the value of personal information motivates users to safeguard their information. Design/methodology/approach Fourteen university students participated in a mixed-methods experiment, where responses to Likert-type scale items were combined with responses to interview questions to provide insight into the cost–benefit analysis users conduct when disclosing information online. Findings Overall, the findings indicate that users are able to disregard their concerns due to a resigned and apathetic attitude towards privacy. Furthermore, subjective norms enhanced by fear of missing out (FOMO) further allows users to overlook potential risks to their information in order to avoid social isolation and sanction. Alternatively, an increased awareness of the personal value of information and having experienced a previous privacy violation encourage the protection of information and limited disclosure. Originality/value This study provides insight into privacy and information disclosure on social media in South Africa. To the knowledge of the researchers, this is the first study to include a combination of the theory of planned behaviour and the privacy calculus model, together with the antecedent factors of personal valuation of information, trust in the social media provider, FOMO.

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Big data and privacy: The study of privacy invasion acceptance in the world of big data

Online Journal of Applied Knowledge Management ◽

10.36965/ojakm.2017.5(1)57-71 ◽

2017 ◽

Vol 5 (1) ◽

pp. 57-71

Author(s):

Jędrzej Wieczorkowski ◽

Przemysław Polak

Keyword(s):

Big Data ◽

Data Processing ◽

Personal Data ◽

Social Consequences ◽

Social Aspect ◽

Commercial Use ◽

Private Data ◽

The Social ◽

Business Application ◽

Privacy Violation

The phenomenon of big data includes technological (new opportunities), business (application), and social aspect. The social aspect applies to the social consequences of the use of big data methods, in particular, those related to the processing of personal and other private data , as well as the danger of privacy violation. In the context of the big data phenomenon, this study presents the results of a survey on the level of acceptance of privacy violation resulting from mass data processing. The different objectives of processing were taken into account, including general, social and commercial. This study helps to draw conclusions concerning commercial and non-commercial use of private data, as well as the legal regulations on personal data processing.

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Addressing Privacy in Traditional and Cloud-Based Systems

Computer Systems and Software Engineering ◽

10.4018/978-1-5225-3923-0.ch079 ◽

2017 ◽

pp. 1900-1930

Author(s):

Christos Kalloniatis ◽

Evangelia Kavakli ◽

Stefanos Gritzalis

Keyword(s):

Credit Card ◽

System Analysis ◽

Systems Design ◽

Personal Data ◽

Research Area ◽

Security And Privacy ◽

Software Systems ◽

Privacy Requirements ◽

Credit Card Data ◽

Privacy Violation

A major challenge in the field of software engineering is to make users trust the software that they use in their everyday activities for professional or recreational reasons. Amid the main criteria that formulate users' trust is the way that that their privacy is protected. Indeed, privacy violation is an issue of great importance for active online users that daily accomplish several transactions that may convey personal data, sensitive personal data, employee data, credit card data and so on. In addition, the appearance of cloud computing has elevated the number of personally identifiable information that users provide in order to gain access to various services, further raising user concerns as to how and to what extend information about them is communicated to others. The aim of this work is to elevate the modern practices for ensuring privacy during software systems design. To this end, the basic privacy requirements that should be considered during system analysis are introduced. Additionally, a number of well-known methods that have been introduced in the research area of requirements engineering which aim on eliciting and modeling privacy requirements during system design are introduced and critically analyzed. The work completes with a discussion of the additional security and privacy concepts that should be considered in the context of cloud-based information systems and how these affect current research.

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Addressing Privacy in Traditional and Cloud-Based Systems

Cloud Technology ◽

10.4018/978-1-4666-6539-2.ch075 ◽

2015 ◽

pp. 1631-1659

Author(s):

Christos Kalloniatis ◽

Evangelia Kavakli ◽

Stefanos Gritzalis

Keyword(s):

Credit Card ◽

System Analysis ◽

Systems Design ◽

Personal Data ◽

Research Area ◽

Security And Privacy ◽

Software Systems ◽

Privacy Requirements ◽

Credit Card Data ◽

Privacy Violation

A major challenge in the field of software engineering is to make users trust the software that they use in their everyday activities for professional or recreational reasons. Amid the main criteria that formulate users' trust is the way that that their privacy is protected. Indeed, privacy violation is an issue of great importance for active online users that daily accomplish several transactions that may convey personal data, sensitive personal data, employee data, credit card data and so on. In addition, the appearance of cloud computing has elevated the number of personally identifiable information that users provide in order to gain access to various services, further raising user concerns as to how and to what extend information about them is communicated to others. The aim of this work is to elevate the modern practices for ensuring privacy during software systems design. To this end, the basic privacy requirements that should be considered during system analysis are introduced. Additionally, a number of well-known methods that have been introduced in the research area of requirements engineering which aim on eliciting and modeling privacy requirements during system design are introduced and critically analyzed. The work completes with a discussion of the additional security and privacy concepts that should be considered in the context of cloud-based information systems and how these affect current research.

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End-to-End Privacy Protection for Facebook Mobile Chat based on AES with Multi-Layered MD5

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v12i1.7472 ◽

2018 ◽

Vol 12 (1) ◽

pp. 160 ◽

Cited By ~ 1

Author(s):

Wibisono Sukmo Wardhono ◽

Nurizal Dwi Priandani ◽

Mahardeka Tri Ananta ◽

Komang Candra Brata ◽

Herman Tolle

Keyword(s):

Social Media ◽

Private Information ◽

Privacy Protection ◽

Personal Data ◽

Social Media Platform ◽

Media Platform ◽

Media Environments ◽

Privacy Violation ◽

Right To Information ◽

Media Company

As social media environments become more interactive and amount of users grown tremendously, privacy is a matter of increasing concern. When personal data become a commodity, social media company can share users data to another party such as government. Facebook, inc is one of the social media company that frequently asked for user’s data. Although this private data request mechanism through a formal and valid legal process, it still undermine the fundamental right to information privacy. In This Case, social media users need protection against privacy violation from social media platform provider itself. Private chat is the most favorite feature of a social media. Inside a chat room, user can share their private information contents. Cryptography is one of data protection methods that can be used to hides private communication data from unauthorized parties. In our study, we proposed a system that can encrypt chatting content based on AES and multi-layered MD5 to ensure social media users have privacy protection against social media company that use user informations as a commodity. In addition, this system can make users convenience to share their private information through social media platform.

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Addressing Privacy in Traditional and Cloud-Based Systems

International Journal of Applied Industrial Engineering ◽

10.4018/ijaie.2014010102 ◽

2014 ◽

Vol 2 (1) ◽

pp. 14-40 ◽

Cited By ~ 1

Author(s):

Christos Kalloniatis ◽

Evangelia Kavakli ◽

Stefanos Gritzalis

Keyword(s):

Credit Card ◽

System Analysis ◽

Systems Design ◽

Personal Data ◽

Research Area ◽

Security And Privacy ◽

Software Systems ◽

Privacy Requirements ◽

Credit Card Data ◽

Privacy Violation

A major challenge in the field of software engineering is to make users trust the software that they use in their everyday activities for professional or recreational reasons. Amid the main criteria that formulate users' trust is the way that that their privacy is protected. Indeed, privacy violation is an issue of great importance for active online users that daily accomplish several transactions that may convey personal data, sensitive personal data, employee data, credit card data and so on. In addition, the appearance of cloud computing has elevated the number of personally identifiable information that users provide in order to gain access to various services, further raising user concerns as to how and to what extend information about them is communicated to others. The aim of this work is to elevate the modern practices for ensuring privacy during software systems design. To this end, the basic privacy requirements that should be considered during system analysis are introduced. Additionally, a number of well-known methods that have been introduced in the research area of requirements engineering which aim on eliciting and modeling privacy requirements during system design are introduced and critically analyzed. The work completes with a discussion of the additional security and privacy concepts that should be considered in the context of cloud-based information systems and how these affect current research.

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