all InfoSec news
Federated Analytics-Empowered Frequent Pattern Mining for Decentralized Web 3.0 Applications
Feb. 16, 2024, 5:10 a.m. | Zibo Wang, Yifei Zhu, Dan Wang, Zhu Han
cs.CR updates on arXiv.org arxiv.org
Abstract: The emerging Web 3.0 paradigm aims to decentralize existing web services, enabling desirable properties such as transparency, incentives, and privacy preservation. However, current Web 3.0 applications supported by blockchain infrastructure still cannot support complex data analytics tasks in a scalable and privacy-preserving way. This paper introduces the emerging federated analytics (FA) paradigm into the realm of Web 3.0 services, enabling data to stay local while still contributing to complex web analytics tasks in a privacy-preserving …
analytics applications arxiv blockchain cs.cr cs.dc current data data analytics decentralized emerging empowered federated federated analytics incentives infrastructure mining paradigm preservation privacy services support transparency web web 3 web 3.0 web services
More from arxiv.org / cs.CR updates on arXiv.org
IDEA: Invariant Defense for Graph Adversarial Robustness
2 days, 9 hours ago |
arxiv.org
FairCMS: Cloud Media Sharing with Fair Copyright Protection
2 days, 9 hours ago |
arxiv.org
Efficient unitary designs and pseudorandom unitaries from permutations
2 days, 9 hours ago |
arxiv.org
Jobs in InfoSec / Cybersecurity
SOC 2 Manager, Audit and Certification
@ Deloitte | US and CA Multiple Locations
Security Officer Hospital Laguna Beach
@ Allied Universal | Laguna Beach, CA, United States
Sr. Cloud DevSecOps Engineer
@ Oracle | NOIDA, UTTAR PRADESH, India
Cloud Operations Security Engineer
@ Elekta | Crawley - Cornerstone
Cybersecurity – Senior Information System Security Manager (ISSM)
@ Boeing | USA - Seal Beach, CA
Engineering -- Tech Risk -- Security Architecture -- VP -- Dallas
@ Goldman Sachs | Dallas, Texas, United States