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1 s2.0 S0167404821001802 Main by aman is a document available to read on EtoBox.

This paper proposes a User and Entity Behaviour Analytics (UEBA) framework to enhance security in Federated Identity Management (FIM) solutions by detecting user behavior anomalies. The proposed workflow allows Relying Parties to create a behavioral fingerprint for users, enabling the identification of potential security threats such as impersonation and session hijacking. The approach is validated through a real-world application, demonstrating its effectiveness in improving security measures within identi

Author

aman

Language

EN