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Harris Hawks Feature Selection in Distributed Machine Learning for Secure IoT Environments. (arXiv:2302.12205v1 [cs.LG])
cs.CR updates on arXiv.org arxiv.org
The development of the Internet of Things (IoT) has dramatically expanded our
daily lives, playing a pivotal role in the enablement of smart cities,
healthcare, and buildings. Emerging technologies, such as IoT, seek to improve
the quality of service in cognitive cities. Although IoT applications are
helpful in smart building applications, they present a real risk as the large
number of interconnected devices in those buildings, using heterogeneous
networks, increases the number of potential IoT attacks. IoT applications can
collect …
applications cities daily development devices distributed emerging environments healthcare internet internet of things iot iot applications large machine machine learning quality risk role service smart smart building smart cities technologies things