Results 221 to 230 of about 16,308 (300)

MLDAS: Machine Learning Dynamic Algorithm Selection for Software‐Defined Networking Security

open access: yesConcurrency and Computation: Practice and Experience, Volume 38, Issue 5, March 2026.
ABSTRACT Network security is a critical concern in the digital landscape of today, with users demanding secure browsing experiences and protection of their personal data. This study explores the dynamic integration of Machine Learning (ML) algorithms with Software‐Defined Networking (SDN) controllers to enhance network security through adaptive ...
Pablo Benlloch   +3 more
wiley   +1 more source

HADA: A Hybrid Anomaly Detection Approach Using Unsupervised Machine Learning

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
Overview of HADA, an unsupervised fraud detection pipeline that preprocesses and scales transaction data, applies PCA for dimensionality reduction, scores anomalies using Isolation Forest, selects anomalous transactions via thresholding, and clusters the selected anomalies using Agglomerative Hierarchical Clustering (AHC) to produce interpretable ...
Francis Thiong'o   +3 more
wiley   +1 more source

Molecular Communication Is the Internet of Brain Missing Key: A Comprehensive Overview of Background Technologies and the Generic Framework

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
A novel three‐layer architecture is proposed for cell‐to‐cell communication, integrating molecular, nano‐electronic, and digital components. It enables bio‐integrated applications such as remote emotional touching, consensual telepathy, and autonomous drug delivery. Molecular Communication (MC) is utilized with advanced implants, modulation techniques,
Saeed Banaeian Far   +2 more
wiley   +1 more source

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

open access: yesEnergy Science &Engineering, Volume 14, Issue 3, Page 1431-1455, March 2026.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga   +3 more
wiley   +1 more source

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