A Hybrid Intrusion Detection Model for Cloud Security: Feature Selection, Classification, and Authentication Using TFSEA Framework

This research paper presents a new security framework called TFSEA that combines feature selection (choosing which data points matter most), classification (sorting data into categories), and authentication (verifying user identity) to detect unauthorized access attempts in cloud computing environments. The paper proposes using this hybrid approach to improve how well systems can identify and prevent intrusions in cloud infrastructure.