"An edge-aided parallel evolutionary privacy-preserving algorithm for I" by Akbar Telikani, Asadollah Shahbahrami et al.
Data sanitization in the context of Internet of Things (IoT) privacy refers to the process of permanently and irreversibly hiding all sensitive information from vast amounts of streaming data. Taking into account the dynamic and real-time characteristics of streaming IoT data, we propose a parallel evolutionary Privacy-Preserving Data Mining (PPDM), called High-performance Evolutionary Data Sanitization for IoT (HEDS4IoT), and implement two mechanisms on a Graphics Processing Units (GPU)-aided p...
Privacy Preserving Data Mining High Performance Evolutionary Data Sanitization Graphics Processing Units Parallel Indexing Engine Parallel Fitness Function Engine Big Data
Source: uow.edu.au