Classification of Privacy Enhancing Technologies on Life-cycle of Information

Kang, Yeonjung; Lee, Hyangjin; Chun, Kilsoo; Song, Jung-Hwan

doi:10.1109/secureware.2007.4385312

Cited by 8 publications

(5 citation statements)

References 1 publication

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“…Curzon et al (2019) provided a detailed review of privacy-enhancing technologies, commonly classified as anonymisation (such as masking and disruption of sensitive data) and security techniques (such as hashing and cryptographic techniques), as the broad types of techniques used mostly for personal information privacy protection. The PETs classification proposed by Kang et al (2007) includes three types based on the privacy information life-cycle, including operation technology, common-based technology, and administrative technologies.…”

Section: Privacy-enhancing Technologiesmentioning

confidence: 99%

A Systematic Review of Personal Information Sharing in Smart Cities: Risks, Impacts, and Controls

Alabsi,

Gill

2024

J Knowl Econ

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Smart cities aim to deliver smart services that rely on emerging technologies to their users. In order for users to get the provided services, they need to share their personal information with different parties. However, sharing personal information in smart cities may impact the privacy of that information. Thus, there is a need to address privacy risks relevant to sharing personal information in smart cities. This study aims to address this issue by conducting a systematic literature review (SLR) to identify and extract privacy risks, impacts, and existing controls associated with sharing personal information, considering elements involved and interacting during the sharing activity in smart cities. A set of 83 selected studies in both academic and industry fields were reviewed, and the results were categorised into three main groups: privacy risks, impacts, and controls. Moreover, the implications and future research directions were also reported. The proposed privacy risk taxonomy will provide a much-needed foundation for the industry and research community, intending to research and evaluate privacy risk frameworks and design solutions for sharing personal information in smart cities.

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Section: Privacy-enhancing Technologiesmentioning

confidence: 99%

A Systematic Review of Personal Information Sharing in Smart Cities: Risks, Impacts, and Controls

Alabsi,

Gill

2024

J Knowl Econ

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“…There are some important performance measures of the data aggregation models, such as Network Lifetime, Data Accuracy, and Network Latency [10][11][12][13][14] which are given the definitions as following:…”

Section: Figure 1 Data System Organizationmentioning

confidence: 99%

A New Data Aggregation Model for Intelligent Transportation System

Zhong

2013

AMR

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Intelligent Transportation System is a new kind of complicated information system which includes many different wireless sensors. With the development in sensor technologies and their applications, it is important to focus on how to find the useful and real-time traffic information from the Intelligent Transportation System. Using this method of building dynamical data system model for the Intelligent Transportation System is the way to solve the data aggregation problem and minimize the number of the multi-sources data.

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“…Encryption PI of users is made as a rule. 10 Technical protection measures in PI storage and retention include: encryption of PI file and DB encryption, secure management of backup files and databases, access control of stored PI and logging and secure management of log files.…”

Section: Technical Protection Measures In Personal Information Storag...mentioning

confidence: 99%

“…PI protection technologies necessary in the public environment in Korea were examined from multiple viewpoints with reference to related research. A table of the PI protection technologies, necessary at each processing phase of PI at public institutions, was organized [10] [11]. Effort was made to include every processing phase, section and countermeasure technologies, from the collection phase of PI to the destruction phase.…”

Section: Personal Information Protection Technologies For Each Proces...mentioning

confidence: 99%

Technical Protection Measures for Personal Information in Each Processing Phase in the Korean Public Sector

Shim¹,

Baek²,

Park³

et al. 2009

TIIS

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Personal information (hereinafter referred to as "PI") infringement has recently emerged as a serious social problem in Korea. PI infringement in the public and private sector is common. There were 182,666 cases of PI in 2,624 public organizations during the last three years. Online infringement cases have increased. PI leakage causes moral and economic damage and is an impediment to public confidence in public organizations seeking to manage e-government and maintain open and aboveboard administration. Thus, it is an important matter. Most cases of PI leakage result from unsatisfactory management of security, errors in home page design and insufficient system protection management. Protection management, such as encryption or management of access logs should be reinforced urgently. However, it is difficult to comprehend the scope of practical technology management satisfied legislation and regulations. Substantial protective countermeasures, such as access control, certification, log management and encryption need to be established. It is hard to deal with the massive leakage of PI and its security management. Therefore, in this study, we analyzed the conditions for the technical protection measures during the processing phase of PI. In addition, we classified the standard control items of protective measures suited to public circumstances. Therefore, this study provides a standard and checklist by which staff in public organizations can protect PI via technical management activities appropriate to laws and ordinances. In addition, this can lead to more detailed and clearer instructions on how to carry out technical protection measures and to evaluate the current status.

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Classification of Privacy Enhancing Technologies on Life-cycle of Information

Cited by 8 publications

References 1 publication

A Systematic Review of Personal Information Sharing in Smart Cities: Risks, Impacts, and Controls

A Systematic Review of Personal Information Sharing in Smart Cities: Risks, Impacts, and Controls

A New Data Aggregation Model for Intelligent Transportation System

Technical Protection Measures for Personal Information in Each Processing Phase in the Korean Public Sector

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