Open Access
Research Article
A lightweight Fog Assisted Cloud Model (FACM) for secure environment
Karthiga Sivakumarkarthiga2191@gmail.comDepartment of Data Science Faculty of Science and Humanities SRM Institute of Science and Technology Ramapuram CampusChennai, Tamil Nadu, 600089, IndiaView full profile → , *Sutha KaliappanCorresponding authorksutha1986@gmail.comDepartment of Computer Science Faculty of Science and Humanities SRM Institute of Science and Technology Ramapuram CampusChennai, Tamil Nadu, 600089, IndiaView full profile → , Renuga Devi Ramasamydrrrenugadevi86@gmail.comDepartment of Data Science Faculty of Science and Humanities SRM Institute of Science and Technology Ramapuram CampusChennai, Tamil Nadu, 600089, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 21 Apr 2025
- Published Online:
- 02 Feb 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-2116
- Pages:
- 777–792
Abstract
Distributed computing is one among the really astonishing innovation in the cutting-edge period because of its productivity in cost-cutting with its adaptability of lessening the own assets while it builds the computational productivity. Continuous protection is required for today’s versatile cloud environments. The massive accessibility of cloud also creates random act of vulnerability. Keeping these constraints as an important consideration, the presented system arrives the solution by developing lightweight cloud environment with Fog-assistance. Fog-assisted cloud computing provides a more distributed, secure, and efficient infrastructure for processing data and delivering services, addressing some of the security challenges associated with traditional cloud-centric approaches. The proposed approach considers the real time data collection through edge sensor networks (ESN). the scenario of data loss during the malfunctioning activities, on the other hand Fog-assisted cloud model (FACM) that tackle the security constraints and retrieve the real parameters is simulated here. The network optimization on malicious activity is adjusted with wind driven optimization (WDO) model. The comparative analysis of both the environment is practically explored with relevant state of art systems.
Keywords
Subject Classifications
68M1468T30
References
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