An edge computing-based and threat behavior-aware smart prioritization framework for cybersecurity intrusion detection and prevention of IEDs in smart grids with …

A Algarni, Z Ahmad, MA Ala'anzy - IEEE Access, 2024 - ieeexplore.ieee.org
The smart grid environment, which emphasizes sustainability, dependability, and efficiency
through smart components such as Intelligent Electronic Devices (IEDs), communication …

Fault tolerance challenges in wearable computing for vital applications: a survey

M Sepahvand, MN Meqdad… - Journal of Medical …, 2024 - Taylor & Francis
Wearable computers can be used in different domains including healthcare. However, due
to suffering from challenges such as faults their applications may be limited in real practice …

[Retracted] Intelligent Offloading Decision and Resource Allocations Schemes Based on RNN/DQN for Reliability Assurance in Software‐Defined Massive Machine …

S Math, P Tam, DY Kim, S Kim - Security and Communication …, 2022 - Wiley Online Library
The heterogeneous novelty applications present in the 5th generation (5G) era, including
machine‐type communication (mMTC), enhanced mobile broadband (eMBB) …

Proactive Network Fault Management for Reliable Subscribed Network Slicing in Software‐Defined Mobile Data IoT Services

S Math, P Tam, S Kim - Scientific Programming, 2022 - Wiley Online Library
Proactive network solutions (PNS) become the precise management and orchestration
(MANO) in the applied artificial intelligence (AI) era. The PNS proposed to invent future …

[PDF][PDF] Systematic Review Analysis on Smart Building: Challenges and Opportunities. Sustainability 2022, 14, 3009

MS Aliero, M Asif, I Ghani, MF Pasha, SR Jeong - 2022 - academia.edu
Smart building technology incorporates efficient and automated controls and applications
that use smart energy products, networked sensors, and data analytics software to monitor …

Dependable mobile federated learning classifications focused for mobile intelligent source distribution system in big data analytics using artificial internet of things

G Anitha, A Jegatheesan… - 2023 Eighth International …, 2023 - ieeexplore.ieee.org
Latest Mobile Federated learning (MFL) is an enormous procedure for confidentiality and
limitations using Artificial Internet of Things (AIOT) tenders in Future-generation mobile …

A time-series process event log preprocessing approach for data-intensive and predictive operationalization of smart factories

M Park, S Park, TH Nguyen, DL Pham… - 2022 24th …, 2022 - ieeexplore.ieee.org
This paper proposes a time-series process event log preprocessing approach applied to
realize data-intensive and predictive operationalization of IoT-supported smart factories. The …

Algorithmic Aspects of Distributed Hash Tables on Cloud, Fog, and Edge Computing Applications: A Survey

A Karras, C Karras, N Schizas, S Sioutas… - … on Algorithmic Aspects …, 2023 - Springer
In the current era, where data is expanding due to the unforeseen volume, velocity, and
variety of data types produced by IoT devices, there is an imperative need to manage such …

[HTML][HTML] Fog computing network security based on resources management

WB Daoud, S Othmen, M Hamdi, R Khdhir… - EURASIP Journal on …, 2023 - Springer
Fog computing paradigm is designed as an extension of cloud computing due to the need
for a supporting platform that is capable of providing the requirements of the Internet of …

Fog Computing in the Industrial Internet of Things: Challenges, Trends, and Strategies

AL Yacelga, NB Arevalo, LA Zambrano - Full Length Article, 2023 - americaspg.com
Abstract The Industrial Internet of Things (IIoT) has ushered in a new era of connectivity and
intelligence in industrial settings. At the heart of this transformative landscape lies Fog …