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mini-ELSA: using Machine Learning to improve space efficiency in Edge Lightweight Searchable Attribute-based encryption for Industry 4.0. (arXiv:2209.10896v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
In previous work a novel Edge Lightweight Searchable Attribute-based
encryption (ELSA) method was proposed to support Industry 4.0 and specifically
Industrial Internet of Things applications. In this paper, we aim to improve
ELSA by minimising the lookup table size and summarising the data records by
integrating Machine Learning (ML) methods suitable for execution at the edge.
This integration will eliminate records of unnecessary data by evaluating added
value to further processing. Thus, resulting in the minimization of both the
lookup …
arxiv edge efficiency encryption industry industry 4.0 machine machine learning space