A new fast framework for anonymizing IoT stream data

ARS Nasab, H Ghaffarian - 2021 5th International Conference …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) plays an important role in human life today. Millions of devices
generate and transmit vast amounts of data. Exploring this data without compromising …

[HTML][HTML] Apache Flink and clustering-based framework for fast anonymization of IoT stream data

A Sadeghi-Nasab, H Ghaffarian, M Rahmani - Intelligent Systems with …, 2023 - Elsevier
In this paper, we present a novel framework that considers the expiration period time of the
Internet of Things (IoT) data stream to anonymize it. IoT stands among one of most fast …

Proposing a New Fast and Robust Framework for Anonymizing IoT Data Streams Using Apache Flink

A Sadeghi-Nasab, H Ghaffarian… - Available at SSRN … - papers.ssrn.com
We present a novel framework that considers the expiration period of stream Internet of
Things (IoT) data to anonymize it. Anonymity is one of the safeguards in place to protect data …

[PDF][PDF] Key Factors Driving Data Architecture Selection

DW Pulsipher - cdrdv2-public.intel.com
This paper explores six critical factors affecting data management techniques that help
organizations solve business problems using data analytics. A brief overview of seven …

[PDF][PDF] Survey Paper on Various Techniques of Privacy Preservation in Data Stream Mining

N Bhegade, S Kanase, S Kashetwar, V Chavan - academia.edu
With a tremendous increase in the need of mining live streaming data, it has resulted in the
interest in the emerging field of data stream mining. The issue of privacy persists in it as …