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Adaptive Machine Learning for Low-overhead Anomaly Detection in Residential Networks: a Comprehensive Security Framework

Year: 2025

Type: article

Abstract: This article presents a novel framework for enhancing residential network security through machine learning-enhanced anomaly detection, addressing the growing Manojava Bharadwaj Bhagavathula

Source: INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY

DOI: 10.34218/ijcet_16_01_136

Author: Manojava Bharadwaj Bhagavathula

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4407154201

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