Privacy Preserving Internet Browsers: Forensic Analysis of Browzar
Christopher Warren +2 more
openalex +2 more sources
Efficient and privacy-preserving certificateless data aggregation in Internet of things–enabled smart grid [PDF]
Aijing Sun +3 more
openalex +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
An Efficient Dummy-Based Location Privacy-Preserving Scheme for Internet of Things Services [PDF]
Yongwen Du +4 more
openalex +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Browsing behavior exposes identities on the Web. [PDF]
Oliveira M +4 more
europepmc +1 more source
An Overview of Security and Privacy Issues for Internet of Things
Heung Youl Youm
openalex +2 more sources
Social Network Services Management and Risk of Doocing. Comment on Kim, S.; Park, H.; Choi, M.J. “Negative Impact of Social Network Services Based on Stressor-Stress-Outcome: The Role of Experience of Privacy Violations. Future Internet 2019, 11, 137” [PDF]
Stefania Fantinelli, Michela Cortini
openalex +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source

