Edge AI for Internet of Energy: Challenges and perspectives

Y Himeur, AN Sayed, A Alsalemi, F Bensaali, A Amira - Internet of Things, 2024 - Elsevier
The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …

Artificial intelligence for securing IoT services in edge computing: a survey

Z Xu, W Liu, J Huang, C Yang, J Lu… - Security and …, 2020 - Wiley Online Library
With the explosive growth of data generated by the Internet of Things (IoT) devices, the
traditional cloud computing model by transferring all data to the cloud for processing has …

[HTML][HTML] Differential privacy in edge computing-based smart city Applications: Security issues, solutions and future directions

A Yao, G Li, X Li, F Jiang, J Xu, X Liu - Array, 2023 - Elsevier
Fast-growing smart city applications, such as smart delivery, smart community, and smart
health, are generating big data that are widely distributed on the internet. IoT (Internet of …

Exploring the landscape of learning analytics privacy in fog and edge computing: A systematic literature review

D Amo-Filva, D Fonseca, FJ García-Peñalvo… - Computers in Human …, 2024 - Elsevier
The study systematically reviews the integration of Fog and Edge Computing within
Learning Analytics to enhance data privacy and security in educational settings that use …

An ensemble of random decision trees with local differential privacy in edge computing

X Wu, L Qi, J Gao, G Ji, X Xu - Neurocomputing, 2022 - Elsevier
Edge computing is an emerging computing paradigm, which offers a great opportunity to
implement data mining-based services and applications for a large number of devices and …

A differentially private indoor localization scheme with fusion of WiFi and bluetooth fingerprints in edge computing

X Zhang, F He, Q Chen, X Jiang, J Bao, T Ren… - Neural Computing and …, 2022 - Springer
As an enabling technology for edge computing scenarios, indoor localization has a broad
prospect in a variety of location-based applications, such as tracking, navigating, and …

Cloud platforms for context-adaptive positioning and localisation in GNSS-denied scenarios—A systematic review

D Quezada-Gaibor, J Torres-Sospedra, J Nurmi… - Sensors, 2021 - mdpi.com
Cloud Computing and Cloud Platforms have become an essential resource for businesses,
due to their advanced capabilities, performance, and functionalities. Data redundancy …

室内定位隐私保护综述

王志恒, 徐彦彦 - 通信学报, 2023 - infocomm-journal.com
智能手机的室内定位服务通常由第三方定位服务商提供, 其独有的隐私泄露风险已成为制约其
发展的主要因素, 如何保护定位过程中用户和数据的隐私成为一个亟待解决的重要问题 …

Learning Analytics' privacy in the fog and edge computing: a systematic mapping review

D Amo-Filva, D Fonseca, FJ García-Peñalvo… - International conference …, 2022 - Springer
The educational context that integrates Learning Analytics processes presents a high
fragility in the data processing. In addition, using analytical technologies in cloud computing …

A Local Differential Privacy Hybrid Data Clustering Iterative Algorithm for Edge Computing

Y Zhou, Z Wang, Y Liu - Chinese Journal of Electronics, 2024 - ieeexplore.ieee.org
As a new computing method, edge computing not only improves the computing efficiency
and processing power of data, but also reduces the transmission delay of data. Due to the …