Advanced cloud intrusion detection framework using graph based features transformers and contrastive learning

Abstract This paper presents a modular and scalable intrusion detection framework that combines graph-based feature extraction, Transformer-based autoencoding, and contrastive learning to improve detection accuracy in cloud environments. Network flows are modeled as graphs to capture relational patt...

Full description

Saved in:
Bibliographic Details
Main Authors: Vijay Govindarajan, Junaid Hussain Muzamal
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-07956-w
Tags: Add Tag
No Tags, Be the first to tag this record!