Fog Computing's Multi-Layer Approach for Instance Data Protection on the Cloud

Shafiul S, S Bharathi

2023

Abstract

The study revolves around the pervasive cloud technology, focusing on the escalating security concerns that have surfaced with its widespread adoption. Cloud computing has revolutionized application development, offering organizations and users flexibility and scalability through the National Institute of Standards and Technology’s (NIST) pay-as-you-go web-based model. Despite the advantages, challenges have arisen, particularly concerning low latency and data security. The shift towards hosting applications on remote servers has amplified concerns regarding data safeguarding. Real-world incidents, such as the Google denial of service attack and Amazon’s downtime due to a lightning strike, underline the vulnerability of cloud-based processes. To address these issues, cloud brokers have emerged as intermediaries to efficiently manage resources and tackle latency problems. However, this entails a trade-off in user control over instance data, raising legitimate privacy concerns. The proposed solution leverages fog computing to address these challenges. It presents a multi-layered approach to protect instance data, incorporating access control, encryption, network segmentation, intrusion detection, and behavior analysis. By introducing the Hash-Solomon coding algorithm and distributing data across local machines, fog servers, and the cloud, the study ensures data availability, durability, and privacy. It offers an innovative solution to safeguard data privacy within cloud storage services, enhancing security in a rapidly evolving technology landscape. The research provides a significant contribution to cloud security, with a primary focus on preserving data privacy, reflecting the evolving landscape of cloud technology.

Paper Citation

in Harvard Style

S S. and Bharathi S. (2023). Fog Computing's Multi-Layer Approach for Instance Data Protection on the Cloud. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 245-251. DOI: 10.5220/0012612200003739

in Bibtex Style

@conference{ai4iot23,
author={Shafiul S and S Bharathi},
title={Fog Computing's Multi-Layer Approach for Instance Data Protection on the Cloud},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={245-251},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012612200003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Fog Computing's Multi-Layer Approach for Instance Data Protection on the Cloud
SN - 978-989-758-661-3
AU - S S.
AU - Bharathi S.
PY - 2023
SP - 245
EP - 251
DO - 10.5220/0012612200003739
PB - SciTePress