Enhancing IoT Security: Intelligent System Design with Machine Learning Framework

IoT functions as a system of devices connected through networks where each object possesses distinct identifiers UIDs among computing appliances and digital and mechanical items and living entities. The initial connected network known as ARPANET led to the development of IoT which has emerged since 1982 as a fast expanding technological sphere. The world will have more than 27 billion IoT devices active worldwide during the last quarter of 2025.

Authors

Publication Details

Journal
Sylwan
Published
2025-01-01
DOI
https://doi.org/10.59879/l4fvd
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing IoT Security: Intelligent System Design with Machine Learning Framework

S. Thenmalar, P. Mahalakshmi, R. Mohandas, P. Sathiyamurthi et al.
Sylwan
Network Security and Intrusion Detection
article

Enhancing IoT Security: Intelligent System Design with Machine Learning Framework

S. Thenmalar, P. Mahalakshmi, R. Mohandas, P. Sathiyamurthi, R. Rajaganapathy
article en

Abstract

IoT functions as a system of devices connected through networks where each object possesses distinct identifiers UIDs among computing appliances and digital and mechanical items and living entities. The initial connected network known as ARPANET led to the development of IoT which has emerged since 1982 as a fast expanding technological sphere. The world will have more than 27 billion IoT devices active worldwide during the last quarter of 2025.

Sylwan
Openalex Percentile: Top 93%
Network Security and Intrusion Detection
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Enhancing IoT Security: Intelligent System Design with Machine Learning Framework — S. Thenmalar, P. Mahalakshmi, et al. · Sylwan (2025) | TGRS Research Map | TGRS