[PDF][PDF] Smart Intrusion Detection in IoT Edge Computing Using Federated Learning.

S Fenanir, F Semchedine - Revue d'Intelligence Artificielle, 2023 - researchgate.net
With the proliferation of the Internet of Things (IoT) in various domains, concerns over
information security and user privacy have exponentially escalated. Numerous smart …

An Effective Intrusion Detection System for Edge Computing Using ConvNeXt and ResNet152V2

VS Balusa, K Srinivas - International Journal of Computational …, 2024 - World Scientific
The proliferation of edge computing, driven by network applications and wireless devices,
increases the vulnerability of confidential information to security risks. In this environment …

Distributed Intrusion Detection Systems Based on Deep Learning Techniques and Boosting Ensemble

M Ayub, Y El-Alfy, AH Khan - … of the 7th International Conference on …, 2023 - dl.acm.org
With the rapid advancement in technologies nowadays, new data is constantly and
frequently being generated, processed, and stored for various applications. To ease up …

A novel computing method for image normalization and standardization on edge equipment chips

M Xie, N Yu, D Tian, W Jin, J Tang… - 2023 6th International …, 2023 - ieeexplore.ieee.org
The computation of image normalization and standardization, consisting of division and
square root calculations can be described with an N-dimensional vector normalization …

Distributed Machine Learning through Transceiver Competitive Connectivity of Remote Computing Systems

D Slavov, V Hristov, A Slavova - 2023 International Scientific …, 2023 - ieeexplore.ieee.org
An architecture is built for sequential data transmission among individual machines
participating in a decentralized distributed machine learning of a convolutional neural …