.png){kind=icon}
Return
Distributed Task Privacy for Aggregation Using Linear Codes
.png){kind=icon}
PRE
AI
DOI：10.1109/TSIPN.2021.3112928.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Information privacy in modern Internet of Things (IoT) environments is necessary for widespread adoption and public trust of collaborative data processing. Most current distributed privacy results ensure local node observations are not accessible by neighbouring nodes while still solving collaborative tasks. In this work we develop the distinct concept of distributed task privacy in unbounded public networks, where linear codes are used to create arbitrary hard limits on the number of nodes contributing to a distributed task. We accomplish this by wrapping local observations in a linear code and intentionally applying symbol errors or erasures prior to transmission. If many nodes join a distributed task, a proportional number of symbol errors and erasures are introduced into the aggregated code leading to decoding failure if the code's predefined symbol error/erasure limit is exceeded.
Keywords:
Distributed
privacy
unbounded
public networks
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.9
Papers:
736
Citations:
1.9K
Organization
Cited Papers
ShareSaveShareSaveOptimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks.png)
SIGNAL PROCESSING
OAAI
SIGNAL PROCESSINGIF3.6
OAAIShareSaveSynergistic Effect of NiO-Ga2O2-Graphene Heterostructures on Congo Red Photodegradation in WaterSeparations
OAAI
SeparationsIF0
OAAIShareSaveShareSaveTradeoffs among Delay, Energy and Accuracy of Partial Data Aggregation in Wireless Sensor Networks2010 24TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA)
2010 24TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA)IF0
PREAI
ShareSave
View more