What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Computer security
Ninghui Li mainly investigates Access control, Data mining, Computer security, Theoretical computer science and Trust management.
In general Access control, his work in Role-based access control is often linked to Information system linking many areas of study.
The study incorporates disciplines such as Information privacy and Inference in addition to Data mining.
His work on Data anonymization is typically connected to Data element as part of general Information privacy study, connecting several disciplines of science.
His work on Authorization, Credential and Privacy software as part of general Computer security study is frequently linked to Negotiation, therefore connecting diverse disciplines of science.
His Trust management research includes themes of Datalog, Programming language and Semantics.
His most cited work include:
- t-Closeness: Privacy Beyond k-Anonymity and l-Diversity (2297 citations)
- Design of a role-based trust-management framework (733 citations)
- Delegation logic: A logic-based approach to distributed authorization (405 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer security, Access control, Data mining, Differential privacy and Theoretical computer science.
His Computer security research focuses on Internet privacy and how it connects with Password.
Ninghui Li has researched Access control in several fields, including Trust management and Authorization.
He works mostly in the field of Data mining, limiting it down to concerns involving Data anonymization and, occasionally, Data publishing.
Within one scientific family, he focuses on topics pertaining to News aggregator under Differential privacy, and may sometimes address concerns connected to Private information retrieval and Protocol.
His Theoretical computer science research integrates issues from Distributed computing and Parameterized complexity.
He most often published in these fields:
- Computer security (35.56%)
- Access control (32.22%)
- Data mining (20.37%)
What were the highlights of his more recent work (between 2018-2021)?
- Differential privacy (15.56%)
- Data mining (20.37%)
- Computer security (35.56%)
In recent papers he was focusing on the following fields of study:
Ninghui Li mainly focuses on Differential privacy, Data mining, Computer security, News aggregator and Artificial intelligence.
His work is dedicated to discovering how Data mining, Domain are connected with Synthetic data generation and other disciplines.
His Computer security study integrates concerns from other disciplines, such as Android and Phishing.
His studies deal with areas such as Machine learning and Authentication as well as Artificial intelligence.
His Categorical variable research is multidisciplinary, incorporating elements of Dimension, Theoretical computer science and Synthetic data.
Ninghui Li studies Operating system, focusing on Access control in particular.
Between 2018 and 2021, his most popular works were:
- Privacy Attacks to the 4G and 5G Cellular Paging Protocols Using Side Channel Information (34 citations)
- Locally Differentially Private Heavy Hitter Identification (27 citations)
- Answering Multi-Dimensional Analytical Queries under Local Differential Privacy (25 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Artificial intelligence
- Operating system
Ninghui Li mostly deals with Differential privacy, Data mining, Oracle, Computer security and News aggregator.
His Differential privacy study combines topics in areas such as Theoretical computer science and Categorical variable.
His study on Identification is often connected to Label Distribution Protocol as part of broader study in Data mining.
His Oracle study incorporates themes from Consistency and Block.
With his scientific publications, his incorporates both Computer security and Training.
His News aggregator research incorporates elements of Interpretation and Information retrieval.
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