SLICED: A secure and adaptive cloud–iot framework for low-latency e-learning environments

Providing dependable, secure connectivity remains a persistent challenge in digital education, particularly in data-sensitive, remote learning environments. This study presents SLICED, which stands for Secure Learning Integration via Cloud and Edge Devices. It is a framework that integrates Internet of Things edge devices with Amazon Web Services (AWS) Cloud services. SLICED orchestrates AWS IoT Core, Lambda, and Key Management Service (KMS) to enable encrypted communication, user authentication, and real-time edge analytics. When compared to traditional AWS-IoT educational systems, this adaptive integration cuts down on latency and increases the level of data protection. The results of experiments conducted in simulated learning networks demonstrate that SLICED can achieve up to 27% lower latency and 33% greater security, thereby providing smart learning environments that are both scalable and safe.

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Publication Details

Journal
Scientific Reports
Published
2025-12-08
DOI
https://doi.org/10.1038/s41598-025-31428-w
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

SLICED: A secure and adaptive cloud–iot framework for low-latency e-learning environments

N. Shanmugapriya, R. Gopi, K. Aswin
Scientific Reports
IoT and Edge/Fog Computing
article

SLICED: A secure and adaptive cloud–iot framework for low-latency e-learning environments

N. Shanmugapriya, R. Gopi, K. Aswin
article en

Abstract

Providing dependable, secure connectivity remains a persistent challenge in digital education, particularly in data-sensitive, remote learning environments. This study presents SLICED, which stands for Secure Learning Integration via Cloud and Edge Devices. It is a framework that integrates Internet of Things edge devices with Amazon Web Services (AWS) Cloud services. SLICED orchestrates AWS IoT Core, Lambda, and Key Management Service (KMS) to enable encrypted communication, user authentication, and real-time edge analytics. When compared to traditional AWS-IoT educational systems, this adaptive integration cuts down on latency and increases the level of data protection. The results of experiments conducted in simulated learning networks demonstrate that SLICED can achieve up to 27% lower latency and 33% greater security, thereby providing smart learning environments that are both scalable and safe.

Scientific ReportsVol. 16(1)
Bharathidasan University (IN), Dhanalakshmi Srinivasan Group of Institutions (IN)
Openalex Percentile: Top 56%
IoT and Edge/Fog Computing
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