Results 21 to 30 of about 12,885 (184)
Rainbow: reliable personally identifiable information retrieval across multi-cloud
Cybersecurity, 2023 Personally identifiable information (PII) refers to any information that links to an individual. Sharing PII is extremely useful in public affairs yet hard to implement due to the worries about privacy violations.
Zishuai Song +4 more
doaj +1 more source
Sensors, 2017 Personally identifiable information (PII) affects individual privacy because PII combinations may yield unique identifications in published data. User PII such as age, race, gender, and zip code contain private information that may assist an adversary in
Abdul Majeed +2 more
doaj +1 more source
Privacy-preserving scoring of tree ensembles : a novel framework for AI in healthcare [PDF]
, 2018 Machine Learning (ML) techniques now impact a wide variety of domains. Highly regulated industries such as healthcare and finance have stringent compliance and data governance policies around data sharing.
De Cock, Martine +6 more
core +1 more source
The Protection of Personally Identifiable Information
SCRIPTed: A Journal of Law, Technology & Society, 2007 Personally identifiable information (PII) can be defined as any piece of information that can, directly or indirectly and unrelated to the public interest, be used to identify a natural person.
DeLiang Liu
doaj +1 more source
Privacy-aware blockchain for personal data sharing and tracking
Open Computer Science, 2019 Secure data distribution is critical for data accountability. Surveillance caused privacy breaching incidents have already questioned existing personal data collection techniques.
Onik Md Mehedi Hassan +3 more
doaj +1 more source
Coin Transfer Unlinkability Under the Counterparty Adversary Model
Ledger, 2022 Unlinkability is a crucial property of cryptocurrencies that protects users from deanonymization attacks. However, currently, even anonymous cryptocurrencies do not necessarily attain unlinkability under specific conditions. For example, Mimblewimble,
Takeshi Miyamae, Kanta Matsuura
doaj +1 more source
A Privacy Preserving Generative Adversarial Network for Image Data [PDF]
ITM Web of Conferences, 2023 The extensive usage of online applications and social media has raised serious concerns from the public regarding the exposure of their personal information. So, there is a strong need for data anonymization to prevent privacy breaches and leakages.
Nallamolu Sathish, Padmanabhuni Srinivas
doaj +1 more source
How to Achieve Compliance with GDPR Article 17 in a Hybrid Cloud Environment
Sci, 2021 On 25 May 2018, the General Data Protection Regulation (GDPR) Article 17, the Right to Erasure (“Right to be Forgotten”) came into force, making it vital for organisations to identify, locate and delete all Personally Identifiable Information (PII) where
Miriam Kelly, Eoghan Furey, Kevin Curran
doaj +1 more source
Privacy and Cloud Computing in Public Schools [PDF]
, 2013 Today, data driven decision-making is at the center of educational policy debates in the United States. School districts are increasingly turning to rapidly evolving technologies and cloud computing to satisfy their educational objectives and take ...
Alvarado, Daniela +5 more
core +5 more sources
Combining Real-World and Clinical Trial Data Through Privacy-Preserving Record Linkage: Opportunities and Challenges-A Narrative Review. [PDF]
Health Sci RepABSTRACT Background and Aims Despite their widespread use, randomized clinical trials (RCTs) face challenges like differential loss to follow‐up, which can impact validity. Real‐world evidence (RWE) from real‐world data (RWD) is increasingly used to address these limitations, but RCTs and RWE have provided complementary, disconnected observations of ...
Batech M +7 more
europepmc +2 more sources