Work

Multimodal Hierarchical Attention-based Model for Enhancing Intrusion Detection

Year: 2026

Type: article

Abstract: This paper lies in the design and implementation of a novel multimodal meta-learning framework for intrusion detection that effectively addresses the inherent challenges of benchmark cybersecurity datasets, particularly UNSW-NB15.

Source: Engineered Science

DOI: 10.30919/es2367

Authors: Mohammad A. Alsharaiah, Mohammed Almaiah, Amer Alqutaish, Khadija Alhumaid

Institutions: University of Jordan, King Faisal University, Rabdan Academy

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: W7166348392

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