Classification of resource management approaches in fog/edge paradigm and future research prospects: a systematic review

P Kansal, M Kumar, OP Verma - The Journal of Supercomputing, 2022 - Springer
The fog paradigm extends the cloud capabilities at the edge of the network. Fog computing-
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …

S-FoS: A secure workflow scheduling approach for performance optimization in SDN-based IoT-Fog networks

S Javanmardi, M Shojafar, R Mohammadi… - Journal of Information …, 2023 - Elsevier
Fog computing aims to provide resources to cloud data centers at the network's edge to
support time-critical Internet of Things (IoT) applications with low-latency requirements …

Wearable Sensor‐Based Human Activity Recognition Using Hybrid Deep Learning Techniques

H Wang, J Zhao, J Li, L Tian, P Tu… - Security and …, 2020 - Wiley Online Library
Human activity recognition (HAR) can be exploited to great benefits in many applications,
including elder care, health care, rehabilitation, entertainment, and monitoring. Many …

A blockchain based federated learning for message dissemination in vehicular networks

F Ayaz, Z Sheng, D Tian… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Message exchange among vehicles plays an important role in ensuring road safety.
Emergency message dissemination is usually carried out by broadcasting. However, high …

Dependable scheduling for real-time workflows on cyber–physical cloud systems

J Zhou, J Sun, M Zhang, Y Ma - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Cyber-physical cloud systems (CPCS) are integrations of cyber-physical systems (CPS) and
cloud computing infrastructures. Integrating CPS into cloud computing infrastructures could …

Privacy-aware cross-platform service recommendation based on enhanced locality-sensitive hashing

L Qi, X Wang, X Xu, W Dou, S Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recommender systems are a promising way for users to quickly find the valuable
information that they are interested in from massive data. Concretely, by capturing the user's …

Task scheduling in the internet of things: challenges, solutions, and future trends

T Bu, Z Huang, K Zhang, Y Wang, H Song, J Zhou… - Cluster …, 2024 - Springer
Abstract The Internet of Things (IoT) paradigm, by transforming physical devices into
innovative items, affects every aspect of our daily lives. It has brought a slew of evolutionary …

Evaluation approach for efficient countermeasure techniques against denial-of-service attack on MPSoC-based IoT using multi-criteria decision-making

AAJ Al-Hchaimi, NB Sulaiman, MAB Mustafa… - IEEE …, 2022 - ieeexplore.ieee.org
Context: Denial-of-Service Attack countermeasure techniques (DoS A-CTs) evaluation is a
Multi-criteria decision-making (MCDM) problem based on different MPSoCs of IoT platform …

CPSS LR-DDoS detection and defense in edge computing utilizing DCNN Q-learning

Z Liu, X Yin, Y Hu - IEEE Access, 2020 - ieeexplore.ieee.org
Existing intrusion detection and defense models for CPSS (Cyber-Physical-Social Systems)
are based on analyzing the static intrusion characteristics, which cannot effectively detect …

An efficient and secure model using adaptive optimal deep learning for task scheduling in cloud computing

S Badri, DM Alghazzawi, SH Hasan, F Alfayez… - Electronics, 2023 - mdpi.com
Recently, cloud computing resources have become one of the trending technologies that
permit the user to manage diverse resources and a huge amount of data in the cloud. Task …