Relevant bibliographies by topics / Personally-Identifiable information protection

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Personally-Identifiable information protection'

Author: Grafiati
Published: 1 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Personally-Identifiable information protection"

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Liu, Deliang. "The Protection of Personally Identifiable Information." SCRIPT-ed 4, no. 4 (2007): 389–406. http://dx.doi.org/10.2966/scrip.040407.389.

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Fugkeaw, Somchart, and Pattavee Sanchol. "Enabling Efficient Personally Identifiable Information Detection with Automatic Consent Discovery." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 17, no. 2 (2023): 245–54. http://dx.doi.org/10.37936/ecti-cit.2023172.252270.

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Personal data leakage prevention has now become a critical issue for implementing data management and sharing in many industries. Several data privacy regulations such as General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPPA), California Consumer Privacy Act (CCPA), and Thailand's Personal Data Protection Act (PDPA) have been issued to enforce organizations to collect, process, and transfer personally identifiable information (PII) securely. In this paper, we propose a design and development of PII RapidDiscover, an efficient Thai and English PII
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Mainetti, Luca, and Andrea Elia. "Detecting Personally Identifiable Information Through Natural Language Processing: A Step Forward." Applied System Innovation 8, no. 2 (2025): 55. https://doi.org/10.3390/asi8020055.

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The protection of personally identifiable information (PII) is being increasingly demanded by customers and governments via data protection regulations. Private and public organizations store and exchange through the Internet a large amount of data that include the personal information of users, employees, and customers. While discovering PII from a large unstructured text corpus is still challenging, a lot of research work has focused on identifying methods and tools for the detection of PII in real-time scenarios and the ability to discover data exfiltration attacks. In those research attemp
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Goutham, Bilakanti. "Secure Data Masking for Healthcare Data Protection." International Journal of Leading Research Publication 2, no. 6 (2021): 1–13. https://doi.org/10.5281/zenodo.15196759.

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The increasing use of cloud computing and artificial intelligence (AI) in the health care industry requires stringent security measures to keep patient information safe. In this paper, the use of data masking technology to secure Protected Health Information (PHI) and Personally Identifiable Information (PII) in a way that complies with regulatory requirements like HIPAA and GDPR is discussed. By using AWS Cloud services and AI-based anonymization, healthcare organizations can combat the threats of data breaches and unauthorized access. AI-based anonymization supports magnifying privacy throug
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Yang, Soyun. "Processing Health Information in Dental Records in the Context of Patient Data Privacy." Journal of The Korean Dental Association 62, no. 2 (2024): 76–93. http://dx.doi.org/10.22974/jkda.2024.62.2.001.

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This article aims to discuss the legal limitations in processing personally identifiable health information contained in dental records. Dental records usually contain images such as panoramic radiographs, from which the patient’s anatomical information on the oral and maxillofacial region can be recognized. Recent development in data processing technology sug-gests the possibility of enhanced chances of human identification from this information.To illustrate current privacy regulations related to the processing of information in dental records, relevant clauses in current laws including the
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Robinson, Robinson, and Blossom U. Idigbo. "A Digital Forensic Investigation of the Presence of Personally Identifiable Information (PII) in Refurbished Hard Drives." Journal of Cybersecurity and Information Management 15, no. 2 (2025): 244–59. https://doi.org/10.54216/jcim.150219.

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The last decade has seen a massive explosion of data, with a lot of Personally Identifiable Information (PII) flooding devices and the cyberspace. This has necessitated the growing call and global awareness for data protection, to ensure the responsible use of data, protect the privacy of data subjects, and prevent crimes such as identity theft and cybercrime. This paper investigated the presence of residual data and Personally Identifiable Information (PII) in refurbished hard drives bought from a retail shop. The study leveraged digital forensic tools to perform data recovery on refurbished
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Onik, Md Mehedi Hassan, Chul-Soo Kim, Nam-Yong Lee, and Jinhong Yang. "Privacy-aware blockchain for personal data sharing and tracking." Open Computer Science 9, no. 1 (2019): 80–91. http://dx.doi.org/10.1515/comp-2019-0005.

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AbstractSecure data distribution is critical for data accountability. Surveillance caused privacy breaching incidents have already questioned existing personal data collection techniques. Organizations assemble a huge amount of personally identifiable information (PII) for data-driven market analysis and prediction. However, the limitation of data tracking tools restricts the detection of exact data breaching points. Blockchain technology, an ‘immutable’ distributed ledger, can be leveraged to establish a transparent data auditing platform. However, Art. 42 and Art. 25 of general data protecti
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Posey, Clay, Uzma Raja, Robert E. Crossler, and A. J. Burns. "Taking stock of organisations’ protection of privacy: categorising and assessing threats to personally identifiable information in the USA." European Journal of Information Systems 26, no. 6 (2017): 585–604. http://dx.doi.org/10.1057/s41303-017-0065-y.

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Rubel, Md Tauhid Hossain, A. K. M. Emran, Razia Sultana Borna, Rony Saha, and Mahmudul Hasan. "Ai-Driven Big Data Transformation And Personally Identifiable Information Security In Financial Data: A Systematic Review." Non human journal 1, no. 01 (2024): 114–28. http://dx.doi.org/10.70008/jmldeds.v1i01.47.

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This systematic review explores the impact of adopting artificial intelligence (AI) to analyze and transform big data in financial and economic contexts, with a specific focus on the privacy and security of personally identifiable information (PII). By examining 37 articles spanning the latest advancements in AI-driven big data technologies, the review identifies both opportunities and challenges in safeguarding PII during financial data transformation. Key findings reveal that while AI enhances data processing capabilities—enabling faster insights and predictive accuracy in economic trends—PI
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Bomba, David, and George Hallit. "Will the new Australian Health Privacy Law provide adequate protection?" Australian Health Review 25, no. 3 (2002): 141. http://dx.doi.org/10.1071/ah020141a.

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Amendments to the original Privacy Act (1988) come at a key point in time, as a national medical record system looms on the Australian horizon. Changes to The Privacy Act have the potential to define a level of information privacy prior to the implementation of such a system. We have therefore collected expert opinions on the ability of the Health Privacy Guidelines(enacted in December 2001 under The Privacy Act and hereafter more specifically known as Health Privacy Legislation) to ensure the privacy and security of patient information. We conclude that the legislation is flawed in its capaci
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Dissertations / Theses on the topic "Personally-Identifiable information protection"

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Marillonnet, Paul. "La gestion des données personnelles par l'usager au sein des collectivités locales." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAS011.

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Cette thèse de doctorat adresse la gestion centrée usager des Données à Caractère Personnel (DCP) au sein des collectivités locales. Elle a été réalisée dans un contexte de CIFRE entre le laboratoire SAMOVAR et Entr’ouvert. Il existe un besoin important de fournir aux usagers des services en ligne de leurs collectivités, des outils de gestion des DCP. Ce besoin est associé aux enjeux du logiciel libre (accès libre au code source, possibilité d’auditer la sécurité du logiciel à partir des sources), qui fait partie intégrante de la philosophie d’Entr’ouvert. Ainsi, un cas d’usage réaliste est id
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Louw, Candice. "Modeling personally identifiable information leakage that occurs through the use of online social networks." Thesis, 2015. http://hdl.handle.net/10210/13846.

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M.Sc. (Computer Science)<br>With the phenomenal growth of the Online Social Network (OSN) industry in the past few years, users have resorted to storing vast amounts of personal information on these sites. The information stored on these sites is often readily accessible from anywhere in the world and not always protected by adequate security settings. As a result, user information can make its way, unintentionally, into the hands of not only other online users, but also online abusers. Online abusers, better known as cyber criminals, exploit user information to commit acts of identity theft,
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WANG, HSIN-LAN, and 王心嵐. "A Study of De-identification Open Source Tools of Personally Identifiable Information Protection for Small to Medium Sized Online Companies." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/b293w5.

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碩士<br>中國文化大學<br>資訊管理學系碩士在職專班<br>107<br>Privacy is often considered as a part of human rights, accepted by the world as a collective value. Nevertheless, the subject is complicated and the boundary often unclear, in particularly subsequent to the uprising internet and digitalization. The digitalization and connectivity of the cyber world indeed have revolutionized the context of the everyday lives of modern societies. Convenience as it may be, it also poses a high risk for privacy breaching, in specific to Personal Identifiable Information. Given this dilemma, regulations and standards are con
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Silva, Carlos Jorge Augusto Pereira da. "Detecting and Protecting Personally Identifiable Information through Machine Learning Techniques." Master's thesis, 2020. https://hdl.handle.net/10216/129033.

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Silva, Carlos Jorge Augusto Pereira da. "Detecting and Protecting Personally Identifiable Information through Machine Learning Techniques." Dissertação, 2020. https://hdl.handle.net/10216/129033.

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Silva, Paulo Miguel Guimarães da. "Contributions to Personal Data Protection and Privacy Preservation in Cloud Environments." Doctoral thesis, 2021. http://hdl.handle.net/10316/95291.

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Tese no âmbito do Programa de Doutoramento em Ciências e Tecnologias da Informação, apresentada ao Departamento de Engenharia Informática da Faculdade de Ciências e Tecnologia da Universidade de Coimbra.<br>Personal data is currently being used in countless applications in a vast number of areas. Despite national and international legislation, the fact is that individuals still have little to no control over who uses their data and for what purposes. As regulations vary from region to region, data is often stored and processed in multiple locations by multiple data processors. Moreover, th
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Books on the topic "Personally-Identifiable information protection"

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United States. Department of Homeland Security. Office of Inspector General. Letter report: DHS's implementation of protective measures for personally identifiable information. U.S. Dept. of Homeland Security, Office of Inspector General, 2007.

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United States. Department of Homeland Security. Office of Inspector General. Better administration of Automated Targeting System controls can further protect personally identifiable information (redacted). U.S. Dept. of Homeland Security, Office of Inspector General, 2007.

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United States. Congress. House. A bill to regulate the use by interactive computer services of personally identifiable information provided by subscribers to such services. U.S. G.P.O., 1999.

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Ione, Auston, and National Library of Medicine (U.S.). Reference Section, eds. Confidentiality of electronic health data: Methods for protecting personally identifiable information : January 1990 through March 1996 : 448 selected citations. U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Library of Medicine, Reference Section, 1996.

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EPA needs to improve safeguards for personally identifiable information. U.S. Environmental Protection Agency, Office of Inspector General, 2014.

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Catalano, MaryAnne. Data Breaches of Personally Identifiable Information at Federal Agencies: Analyses and Lessons. Nova Science Publishers, Incorporated, 2014.

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Confidentiality of electronic health data: Methods for protecting personally identifiable information : January 1990 through March 1996 : 448 selected citations. U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Library of Medicine, Reference Section, 1996.

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Book chapters on the topic "Personally-Identifiable information protection"

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Ni, Anna Ya. "Protection of Personally Identifiable Information in Government." In Routledge Handbook on Information Technology in Government. Routledge, 2017. http://dx.doi.org/10.4324/9781315683645-17.

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White, Garry L., Francis A. Méndez Mediavilla, and Jaymeen R. Shah. "Information Privacy." In Privacy Solutions and Security Frameworks in Information Protection. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2050-6.ch004.

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In the Web dependent world, companies must respect and protect individuals’ information privacy. Companies develop and implement corporate information privacy policies to comply with the domestic and international information privacy laws and regulations. This paper investigates: (a) the approach used by multinational and domestic companies to develop and implement corporate information privacy policies; and (b) the perception of corporate managers/professionals toward information privacy legislation and secondary use of personally identifiable information (PII) that organizations collect. A s
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Müller, Armin, and Fabian Prasser. "Systematization of Pseudonymization Algorithms for Health Data." In Studies in Health Technology and Informatics. IOS Press, 2025. https://doi.org/10.3233/shti250458.

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Biomedical research depends on collecting, analyzing, and sharing of data while protecting patient or study participant privacy. Laws such as the European Union’s General Data Protection Regulation recommend pseudonymization, which provides a mechanism to protect privacy by replacing personally identifiable information with pseudonyms. We present a comparative analysis of pseudonymization algorithms categorized into encryption-, hash-, counter-, and randomness-based methods, structured along eight key axes such as pseudonym length, complexity, and suitability for automation or manual transmiss
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Gibson, Neal, and Greg Holland. "A Dual-Database Trusted Broker System for Resolving, Protecting, and Utilizing Multi-Sourced Data." In Information Quality and Governance for Business Intelligence. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4892-0.ch018.

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A longitudinal database structure, which allows for the joining of data between disparate systems and government agencies, is outlined. While this approach is specific to government agencies, many of the ideas implemented are from the commercial world and have relevance to problems associated with data integration in all domains. The goal of the system is to allow for the sharing of data between agencies while upholding the strictest interpretations of rules and regulations protecting individual privacy and confidentiality. The ability to link records over time is central to such a system, so
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Throne, Robin. "Data Ethics Policy Trends for Human Subjects Protections in the Era of the AI Bill of Rights." In Advances in Data Mining and Database Management. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3848-3.ch009.

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For institutional review boards (IRBs) and human research protection programs (HRPPs) specifically, the ubiquity of artificial intelligence (AI), machine learning (ML), and data mining (DM) within research today have created various and significant challenges for protections of human subjects and human subjects' data, including personally identifiable information, in research regulated by U.S. federal agencies. This chapter presents an analysis of the Blueprint for the AI Bill of Rights released in September 2022 by the White House Office of Science and Technology Policy in the context of huma
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Throne, Robin, and Michalina Hendon. "Belmont 2.0." In Methodologies and Ethics for Social Sciences Research. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1726-6.ch001.

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With the growth of ubiquitous digital technologies, such as artificial intelligence and machine learning, specialized training and preparation are needed to best guide social science researchers for human research protections that involve protections for data with personally identifiable information. Some human research protection (HRP) officers have called for a Belmont 2.0 that offers more aligned guidance for HRP programs and institutional review boards (IRB) to address data ethics in this new era. This chapter presents an analysis of the shifting climate of HRP data ethics, Belmont Princip
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Throne, Robin, and Michalina Hendon. "Belmont 2.0." In Advances in Data Mining and Database Management. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3848-3.ch011.

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With the growth of ubiquitous digital technologies, such as artificial intelligence and machine learning, specialized training and preparation are needed to best guide social science researchers for human research protections that involve protections for data with personally identifiable information. Some human research protection (HRP) officers have called for a Belmont 2.0 that offers more aligned guidance for HRP programs and institutional review boards (IRB) to address data ethics in this new era. This chapter presents an analysis of the shifting climate of HRP data ethics, Belmont Princip
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Erwin, Geoff, and Mike Moncrieff. "Investing in Online Privacy Policy for Small Business as Part of B2C Web Site Management." In Information Communication Technologies. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-949-6.ch209.

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“You have zero privacy anyway. Get over it.” These words by Scott McNeally, CEO of Sun Microsystems, represent one pole of opinion on the privacy protection spectrum in the global world of the World Wide Web and Internet. At the other end, some authors identify privacy as “… perhaps the most contentious and serious issue facing information and communication technology (ICT) managers …” Assessing these extreme opinions, how does a small business Web site operator determine a feasible and responsible course of action for handling personally identifiable information collected in the course of bus
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Mavridis, Ioannis. "Deploying Privacy Improved RBAC in Web Information Systems." In Systems Approach Applications for Developments in Information Technology. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1562-5.ch020.

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Access control technology holds a central role in achieving trustworthy management of personally identifiable information in modern information systems. In this article, a privacy-sensitive model that extends Role-Based Access Control (RBAC) to provide privacy protection through fine-grained and just-in-time access control in Web information systems is proposed. Moreover, easy and effective mapping of corresponding components is recognized as an important factor for succeeding in matching security and privacy objectives. Such a process is proposed to be accomplished by capturing and modeling p
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Iglezakis, Ioannis. "Personal Data Protection in Digital Libraries." In E-Publishing and Digital Libraries. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-031-0.ch019.

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Digital libraries provide many advantages compared with traditional libraries, such as wide and round the clock availability of resources, lack of physical boundaries, etc. However, the disclosure of personally identifiable information in the course of processing activities may lead to an invasion of privacy of library users, without their being aware of it. In fact, privacy threats are increased in the digital environment, in which digital libraries operate. The right to privacy in the library is “the right to open inquiry without having the subject of one’s interest examined or scrutinized b
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Conference papers on the topic "Personally-Identifiable information protection"

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Al-Zaben, Nasr, Md Mehedi Hassan Onik, Jinhong Yang, Nam-Yong Lee, and Chul-Soo Kim. "General Data Protection Regulation Complied Blockchain Architecture for Personally Identifiable Information Management." In 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE). IEEE, 2018. http://dx.doi.org/10.1109/iccecome.2018.8658586.

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Gopalan, Kirubasri, Kowsalyadevi Krishnaraj, Karuppasamy Ragavan, Madhumitha Srinivasan, and Senthil Kumar Arumugam. "A cryptographic based end to end data protection model for personally identifiable information." In INTERNATIONAL CONFERENCE ON GREEN COMPUTING FOR COMMUNICATION TECHNOLOGIES (ICGCCT – 2024). AIP Publishing, 2025. https://doi.org/10.1063/5.0262894.

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Rathnayake, Ayodhya Prabhashini. "Patient Information and Electronic Health Records: A Legal Appraisal with Reference to European Health Data Space." In SLIIT International Conference on Advancements in Sciences and Humanities 2023. Faculty of Humanities and Sciences, SLIIT, 2023. http://dx.doi.org/10.54389/isyz8327.

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The field of medicine deals with personally identifiable health information regarding individuals. Traditionally, individual records have been stored manually. However, the increased application of information technology and digitalization caused the use of electronic health information to make the provision of healthcare. ‘Personal health information’ is unique because, it deserves legal protection. The disclosure and leakage of such information in an unauthorized way can lead to embarrassing and discriminatory circumstances. The digitalization of healthcare services has earned a reputation f
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Alnemari, Asma, Rajendra K. Raj, Carol J. Romanowski, and Sumita Mishra. "Protecting Personally Identifiable Information (PII) in Critical Infrastructure Data Using Differential Privacy." In 2019 IEEE International Symposium on Technologies for Homeland Security (HST). IEEE, 2019. http://dx.doi.org/10.1109/hst47167.2019.9032942.

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Yang, Jianliang, Xiya Zhang, Kai Liang, and Yuenan Liu. "Exploring the Application of Large Language Models in Detecting and Protecting Personally Identifiable Information in Archival Data: A Comprehensive Study*." In 2023 IEEE International Conference on Big Data (BigData). IEEE, 2023. http://dx.doi.org/10.1109/bigdata59044.2023.10386949.

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Reports on the topic "Personally-Identifiable information protection"

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McCallister, E., T. Grance, and K. A. Scarfone. Guide to protecting the confidentiality of Personally Identifiable Information (PII). National Institute of Standards and Technology, 2010. http://dx.doi.org/10.6028/nist.sp.800-122.

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You might also be interested in the extended bibliographies on the topic 'Personally-Identifiable information protection' for particular source types:
Journal articles
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