Blockchain driven intrusion detection using slime mould optimisation algorithm with ensemble of deep learning models

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Computational Vision and Robotics
Published
2025-01-01
DOI
https://doi.org/10.1504/ijcvr.2025.10074464
Primary Topic
Slime Mold and Myxomycetes Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Blockchain driven intrusion detection using slime mould optimisation algorithm with ensemble of deep learning models

N. Mohananthini, Christo Ananth
International Journal of Computational Vision and Robotics
Slime Mold and Myxomycetes Research
article

Blockchain driven intrusion detection using slime mould optimisation algorithm with ensemble of deep learning models

N. Mohananthini, Christo Ananth
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Computational Vision and RoboticsVol. 1(1)
Openalex Percentile: Top 68%
Slime Mold and Myxomycetes Research
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Blockchain driven intrusion detection using slime mould optimisation algorithm with ensemble of deep learning models — N. Mohananthini, Christo Ananth · International Journal of Computational Vision and Robotics (2025) | TGRS Research Map | TGRS