An optimized blockchain framework with ML-based anomaly detection for distributed access control in IoT networks

Authors

Institutions

Publication Details

Journal
Discover Computing
Published
2026-03-28
DOI
https://doi.org/10.1007/s10791-026-10047-7
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An optimized blockchain framework with ML-based anomaly detection for distributed access control in IoT networks

Burri Naresh, Ravikumar Ch, C. S. Sowjanya, B. N. V. MadhuBabu
Discover Computing
Blockchain Technology Applications and Security
article

An optimized blockchain framework with ML-based anomaly detection for distributed access control in IoT networks

Burri Naresh, Ravikumar Ch, C. S. Sowjanya, B. N. V. MadhuBabu
article en

Abstract

No abstract available for this paper.
Discover ComputingVol. 29(1)
University of Hyderabad (IN), Krishna Institute of Medical Sciences (IN), P.V. Narsimha Rao Telangana Veterinary University (IN), International Institute of Information Technology, Hyderabad (IN)
Openalex Percentile: Top 3%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.