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Edge computing for smart health: Context-aware approaches, opportunities, and challenges
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Improving the efficiency of healthcare systems is a top national interest worldwide. However, the need to deliver scalable healthcare services to patients while reducing costs is a challenging issue. Among the most promising ...
Exploring microservices for enhancing internet QoS
(
Wiley Blackwell
, 2018 , Article)
With the enhancements in the field of software-defined networking and virtualization technologies, novel networking paradigms such as network function virtualization and the Internet of Things are rapidly gaining ground. ...
QoE-aware distributed cloud-based live streaming of multisourced multiview videos
(
Academic Press
, 2018 , Article)
Video streaming is one of the most prevailing and bandwidth consuming Internet applications today. Advancements in technology and prevalence of video capturing devices result in massive multi-sourced (aka crowdsourced) ...
Hierarchical security paradigm for iot multiaccess edge computing
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The rise in embedded and IoT device usage comes with an increase in LTE usage as well. About 70% of an estimated 18 billion IoT devices will be using cellular LTE networks for efficient connections. This introduces several ...
Fuzzy Elliptic Curve Cryptography for Authentication in Internet of Things
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The security and privacy of the network in Internet of Things (IoT) systems are becoming more critical as we are still more dependent on smart systems. Considering that packets are exchanged between the end user and the ...
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Unmanned aerial vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, which is not the case of traditional systems ...
RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Due to their high computational and memory demand, deep learning applications are mainly restricted to high-performance units, e.g., cloud and edge servers. Particularly, in Internet of Things (IoT) systems, the data ...
On Designing Smart Agents for Service Provisioning in Blockchain-powered Systems
(
IEEE Computer Society
, 2021 , Article)
Service provisioning systems assign users to service providers according to allocation criteria that strike an optimal trade-off between users Quality of Experience (QoE) and the operation cost endured by providers. These ...
3-D Stochastic Geometry-based Modeling and Performance Analysis of Efficient Security Enhancement scheme for IoT Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Internet of Things (IoT) systems are becoming core building blocks for different services and applications supporting every day’s life. The heterogeneous nature of IoT devices and the complex use scenarios make it ...
Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Existing techniques for incremental learning are computationally expensive and produce duplicate features leading to higher false positive and true negative rates. We propose a novel privacy-preserving intrusion detection ...